Kim, Chang Sub Bayesian mechanics of perceptual inference and motor control in the brain. (English) Zbl 07328325 Biol. Cybern. 115, No. 1, 87-102 (2021). MSC: 92B20 92C10 PDF BibTeX XML Cite \textit{C. S. Kim}, Biol. Cybern. 115, No. 1, 87--102 (2021; Zbl 07328325) Full Text: DOI
Cho, Heyrim; Lewis, Allison L.; Storey, Kathleen M.; Jennings, Rachel; Shtylla, Blerta; Reynolds, Angela M.; Byrne, Helen M. A framework for performing data-driven modeling of tumor growth with radiotherapy treatment. (English) Zbl 07326302 Segal, Rebecca (ed.) et al., Using mathematics to understand biological complexity. From cells to populations. Selected papers of the collaborative workshop for woman in mathematical biology, University of California, Los Angeles, CA, USA, June 17–21, 2019. Cham: Springer (ISBN 978-3-030-57128-3/hbk; 978-3-030-57129-0/ebook). Association for Women in Mathematics Series 22, 179-216 (2021). MSC: 92C50 92C42 68Q80 PDF BibTeX XML Cite \textit{H. Cho} et al., Assoc. Women Math. Ser. 22, 179--216 (2021; Zbl 07326302) Full Text: DOI
Aitken, Colin; Taroni, Franco; Bozza, Silvia Statistics and the evaluation of evidence for forensic scientists. 3rd updated edition. (English) Zbl 07323047 Wiley Series in Statistics in Practice. Hoboken, NJ: John Wiley & Sons (ISBN 978-1-119-24522-3/hbk; 978-1-119-24543-8/ebook). xli, 1206 p. (2021). MSC: 62P99 62-01 PDF BibTeX XML Cite \textit{C. Aitken} et al., Statistics and the evaluation of evidence for forensic scientists. 3rd updated edition. Hoboken, NJ: John Wiley \& Sons (2021; Zbl 07323047) Full Text: DOI
Chang, Jow-Ran; Hung, Mao-Wei; Lee, Cheng Few; Lu, Hsin-Min The jump behavior of a foreign exchange market: analysis of the Thai baht. (English) Zbl 1454.91337 Lee, Cheng Few (ed.) et al., Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 2. Hackensack, NJ: World Scientific. 1943-1968 (2021). MSC: 91G45 60J74 62P05 PDF BibTeX XML Cite \textit{J.-R. Chang} et al., in: Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 2. Hackensack, NJ: World Scientific. 1943--1968 (2021; Zbl 1454.91337) Full Text: DOI
Kwak, Wikil; Shi, Yong; Lee, Cheng Few Data mining applications in accounting and finance context. (English) Zbl 1452.91322 Lee, Cheng Few (ed.) et al., Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 1. Hackensack, NJ: World Scientific. 823-857 (2021). MSC: 91G45 62P05 62R07 PDF BibTeX XML Cite \textit{W. Kwak} et al., in: Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 1. Hackensack, NJ: World Scientific. 823--857 (2021; Zbl 1452.91322) Full Text: DOI
Sucar, Luis Enrique Probabilistic graphical models. Principles and applications. 2nd fully updated edition. (English) Zbl 1453.68001 Advances in Computer Vision and Pattern Recognition. Cham: Springer (ISBN 978-3-030-61942-8/hbk; 978-3-030-61943-5/ebook). xxviii, 355 p. (2021). MSC: 68-01 62-01 60J20 62-04 62F15 62H22 62H30 68-04 68T05 68T07 68T37 90C40 PDF BibTeX XML Cite \textit{L. E. Sucar}, Probabilistic graphical models. Principles and applications. 2nd fully updated edition. Cham: Springer (2021; Zbl 1453.68001) Full Text: DOI
Kadane, Joseph B. Principles of uncertainty. 2nd updated edition. (English) Zbl 1441.62004 Chapman & Hall/CRC Texts in Statistical Science Series. Boca Raton, FL: CRC Press (ISBN 978-1-138-05273-4/hbk). xxv, 498 p. (2021). MSC: 62-01 62C10 62F15 62C12 60K20 60J22 PDF BibTeX XML Cite \textit{J. B. Kadane}, Principles of uncertainty. 2nd updated edition. Boca Raton, FL: CRC Press (2021; Zbl 1441.62004)
Koul, Nimrita; Manvi, Sunilkumar S. Computational methods for inference of gene regulatory networks from gene expression data. (English) Zbl 07327375 Srinivasa, K. G. (ed.) et al., Statistical modelling and machine learning principles for bioinformatics techniques, tools, and applications. Singapore: Springer (ISBN 978-981-15-2444-8/hbk; 978-981-15-2447-9/pbk; 978-981-15-2445-5/ebook). Algorithms for Intelligent Systems, 135-149 (2020). MSC: 92C40 92C42 68T05 92-08 PDF BibTeX XML Cite \textit{N. Koul} and \textit{S. S. Manvi}, in: Statistical modelling and machine learning principles for bioinformatics techniques, tools, and applications. Singapore: Springer. 135--149 (2020; Zbl 07327375) Full Text: DOI
Rotnitzky, Andrea; Smucler, Ezequiel Efficient adjustment sets for population average causal treatment effect estimation in graphical models. (English) Zbl 07306884 J. Mach. Learn. Res. 21, Paper No. 188, 86 p. (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{A. Rotnitzky} and \textit{E. Smucler}, J. Mach. Learn. Res. 21, Paper No. 188, 86 p. (2020; Zbl 07306884) Full Text: Link
Agrawal, Devanshu; Papamarkou, Theodore; Hinkle, Jacob Wide neural networks with bottlenecks are deep Gaussian processes. (English) Zbl 07306874 J. Mach. Learn. Res. 21, Paper No. 175, 66 p. (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{D. Agrawal} et al., J. Mach. Learn. Res. 21, Paper No. 175, 66 p. (2020; Zbl 07306874) Full Text: Link
Grabisch, Michel; Rusinowska, Agnieszka A survey on nonstrategic models of opinion dynamics. (English) Zbl 07303789 Games 11, No. 4, Paper No. 65, 29 p. (2020). Reviewer: Yilun Shang (Newcastle) MSC: 91D30 PDF BibTeX XML Cite \textit{M. Grabisch} and \textit{A. Rusinowska}, Games 11, No. 4, Paper No. 65, 29 p. (2020; Zbl 07303789) Full Text: DOI
Sweet, Tracy; Adhikari, Samrachana A latent space network model for social influence. (English) Zbl 07300260 Psychometrika 85, No. 2, 251-274 (2020). MSC: 62P15 62H22 91D30 PDF BibTeX XML Cite \textit{T. Sweet} and \textit{S. Adhikari}, Psychometrika 85, No. 2, 251--274 (2020; Zbl 07300260) Full Text: DOI
Ni, Yang; Müller, Peter; Ji, Yuan Bayesian double feature allocation for phenotyping with electronic health records. (English) Zbl 1452.62835 J. Am. Stat. Assoc. 115, No. 532, 1620-1634 (2020). MSC: 62P10 62F15 62H30 PDF BibTeX XML Cite \textit{Y. Ni} et al., J. Am. Stat. Assoc. 115, No. 532, 1620--1634 (2020; Zbl 1452.62835) Full Text: DOI
Thorvaldsen, Steinar; Hössjer, Ola Using statistical methods to model the fine-tuning of molecular machines and systems. (English) Zbl 1455.92065 J. Theor. Biol. 501, Article ID 110352, 13 p. (2020). MSC: 92C42 92C40 62P10 PDF BibTeX XML Cite \textit{S. Thorvaldsen} and \textit{O. Hössjer}, J. Theor. Biol. 501, Article ID 110352, 13 p. (2020; Zbl 1455.92065) Full Text: DOI
Lee, Francis; Butts, Carter T. On the validity of perceived social structure. (English) Zbl 1455.91180 J. Math. Psychol. 98, Article ID 102384, 11 p. (2020). Reviewer: Yilun Shang (Newcastle) MSC: 91D30 91E45 PDF BibTeX XML Cite \textit{F. Lee} and \textit{C. T. Butts}, J. Math. Psychol. 98, Article ID 102384, 11 p. (2020; Zbl 1455.91180) Full Text: DOI
Isomura, Takuya; Friston, Karl Reverse-engineering neural networks to characterize their cost functions. (English) Zbl 1453.92014 Neural Comput. 32, No. 11, 2085-2121 (2020). MSC: 92B20 90C40 PDF BibTeX XML Cite \textit{T. Isomura} and \textit{K. Friston}, Neural Comput. 32, No. 11, 2085--2121 (2020; Zbl 1453.92014) Full Text: DOI
Cotter, Simon L.; Kevrekidis, Ioannis G.; Russell, Paul T. Transport map accelerated adaptive importance sampling, and application to inverse problems arising from multiscale stochastic reaction networks. (English) Zbl 1454.62096 SIAM/ASA J. Uncertain. Quantif. 8, 1383-1413 (2020). MSC: 62F15 62D05 65C05 PDF BibTeX XML Cite \textit{S. L. Cotter} et al., SIAM/ASA J. Uncertain. Quantif. 8, 1383--1413 (2020; Zbl 1454.62096) Full Text: DOI
Herrmann, Lukas; Schwab, Christoph; Zech, Jakob Deep neural network expression of posterior expectations in Bayesian PDE inversion. (English) Zbl 1453.35191 Inverse Probl. 36, No. 12, Article ID 125011, 32 p. (2020). MSC: 35R30 35J25 PDF BibTeX XML Cite \textit{L. Herrmann} et al., Inverse Probl. 36, No. 12, Article ID 125011, 32 p. (2020; Zbl 1453.35191) Full Text: DOI
Caraiani, Petre; Dutescu, Adriana; Hoinaru, Răzvan; Stănilă, Georgiana Oana Production network structure and the impact of the monetary policy shocks: evidence from the OECD. (English) Zbl 1451.91080 Econ. Lett. 193, Article ID 109271, 3 p. (2020). MSC: 91B38 91B64 PDF BibTeX XML Cite \textit{P. Caraiani} et al., Econ. Lett. 193, Article ID 109271, 3 p. (2020; Zbl 1451.91080) Full Text: DOI
Javidian, Mohammad Ali; Valtorta, Marco; Jamshidi, Pooyan AMP chain graphs: minimal separators and structure learning algorithms. (English) Zbl 07269309 J. Artif. Intell. Res. (JAIR) 69, 419-470 (2020). MSC: 68T PDF BibTeX XML Cite \textit{M. A. Javidian} et al., J. Artif. Intell. Res. (JAIR) 69, 419--470 (2020; Zbl 07269309) Full Text: DOI
Lin, Peng; Neil, Martin; Fenton, Norman Improved high dimensional discrete Bayesian network inference using triplet region construction. (English) Zbl 07269306 J. Artif. Intell. Res. (JAIR) 69, 231-295 (2020). MSC: 68T PDF BibTeX XML Cite \textit{P. Lin} et al., J. Artif. Intell. Res. (JAIR) 69, 231--295 (2020; Zbl 07269306) Full Text: DOI
Zhang, Yan; Chen, Zhaohui On the genetic regulation of Bayesian networks. (Chinese. English summary) Zbl 07267454 Math. Pract. Theory 50, No. 8, 84-93 (2020). MSC: 92D10 92C40 92C42 05C90 PDF BibTeX XML Cite \textit{Y. Zhang} and \textit{Z. Chen}, Math. Pract. Theory 50, No. 8, 84--93 (2020; Zbl 07267454)
Shang, Yanmin; Cao, Ya’nan; Liu, Yanbing CHS-BPR: combining content-aware and heterogeneous-aware for event recommendation. (Chinese. English summary) Zbl 07267119 J. Softw. 31, No. 4, 1212-1224 (2020). MSC: 91D30 PDF BibTeX XML Cite \textit{Y. Shang} et al., J. Softw. 31, No. 4, 1212--1224 (2020; Zbl 07267119) Full Text: DOI
Ghosh, Prasenjit; Pati, Debdeep; Bhattacharya, Anirban Posterior contraction rates for stochastic block models. (English) Zbl 1451.62036 Sankhyā, Ser. A 82, No. 2, 448-476 (2020). MSC: 62G07 62G20 62H30 62H22 60K35 PDF BibTeX XML Cite \textit{P. Ghosh} et al., Sankhyā, Ser. A 82, No. 2, 448--476 (2020; Zbl 1451.62036) Full Text: DOI
Pitombeira-Neto, Anselmo Ramalho; Loureiro, Carlos Felipe Grangeiro; Carvalho, Luis Eduardo A dynamic hierarchical Bayesian model for the estimation of day-to-day origin-destination flows in transportation networks. (English) Zbl 07258048 Netw. Spat. Econ. 20, No. 2, 499-527 (2020). MSC: 90 62 PDF BibTeX XML Cite \textit{A. R. Pitombeira-Neto} et al., Netw. Spat. Econ. 20, No. 2, 499--527 (2020; Zbl 07258048) Full Text: DOI
Kool, Wouter; van Hoof, Herke; Welling, Max Ancestral Gumbel-top-\(k\) sampling for sampling without replacement. (English) Zbl 07255078 J. Mach. Learn. Res. 21, Paper No. 47, 36 p. (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{W. Kool} et al., J. Mach. Learn. Res. 21, Paper No. 47, 36 p. (2020; Zbl 07255078) Full Text: Link
Sariev, Eduard; Germano, Guido Bayesian regularized artificial neural networks for the estimation of the probability of default. (English) Zbl 1448.91314 Quant. Finance 20, No. 2, 311-328 (2020). MSC: 91G40 91-08 PDF BibTeX XML Cite \textit{E. Sariev} and \textit{G. Germano}, Quant. Finance 20, No. 2, 311--328 (2020; Zbl 1448.91314) Full Text: DOI
Leonelli, Manuele; Riccomagno, Eva; Smith, Jim Q. Coherent combination of probabilistic outputs for group decision making: an algebraic approach. (English) Zbl 1447.90017 OR Spectrum 42, No. 2, 499-528 (2020). MSC: 90B50 62C10 62F15 91B06 PDF BibTeX XML Cite \textit{M. Leonelli} et al., OR Spectrum 42, No. 2, 499--528 (2020; Zbl 1447.90017) Full Text: DOI
Bian, Lingbin; Cui, Tiangang; Sofronov, Georgy; Keith, Jonathan Network structure change point detection by posterior predictive discrepancy. (English) Zbl 07240091 Tuffin, Bruno (ed.) et al., Monte Carlo and quasi-Monte Carlo methods. MCQMC 2018. Proceedings of the 13th international conference on Monte Carlo and quasi-Monte Carlo methods in scientific computing, Rennes, France, July 1–6, 2018. Cham: Springer (ISBN 978-3-030-43464-9/hbk; 978-3-030-43465-6/ebook). Springer Proceedings in Mathematics & Statistics 324, 107-123 (2020). MSC: 65C05 PDF BibTeX XML Cite \textit{L. Bian} et al., in: Monte Carlo and quasi-Monte Carlo methods. MCQMC 2018. Proceedings of the 13th international conference on Monte Carlo and quasi-Monte Carlo methods in scientific computing, Rennes, France, July 1--6, 2018. Cham: Springer. 107--123 (2020; Zbl 07240091) Full Text: DOI
Lee, Clement; Wilkinson, Darren J. A hierarchical model of nonhomogeneous Poisson processes for Twitter retweets. (English) Zbl 1437.62692 J. Am. Stat. Assoc. 115, No. 529, 1-15 (2020). MSC: 62P25 62F15 62M20 91D30 PDF BibTeX XML Cite \textit{C. Lee} and \textit{D. J. Wilkinson}, J. Am. Stat. Assoc. 115, No. 529, 1--15 (2020; Zbl 1437.62692) Full Text: DOI
Li, Wei; Tan, Xu Locally Bayesian learning in networks. (English) Zbl 1445.91006 Theor. Econ. 15, No. 1, 239-278 (2020). MSC: 91A26 91D30 91A28 PDF BibTeX XML Cite \textit{W. Li} and \textit{X. Tan}, Theor. Econ. 15, No. 1, 239--278 (2020; Zbl 1445.91006) Full Text: DOI
Maeda, Iwao; Matsushima, Hiroyasu; Sakaji, Hiroki; Izumi, Kiyoshi; Degraw, David; Tomioka, Hirokazu; et al. Learning uncertainty in market trend forecast using Bayesian neural networks. (English) Zbl 1447.91170 Bucciarelli, Edgardo (ed.) et al., Decision economics: complexity of decisions and decisions for complexity. Papers based on the presentations at the international conference on decision economics, DECON 2019, Ávila, Spain, June 26–28, 2019. Cham: Springer. Adv. Intell. Syst. Comput. 1009, 210-218 (2020). MSC: 91G15 62P05 62M20 91-08 PDF BibTeX XML Cite \textit{I. Maeda} et al., Adv. Intell. Syst. Comput. 1009, 210--218 (2020; Zbl 1447.91170) Full Text: DOI
Jin, Junyang; Yuan, Ye; Gonçalves, Jorge High precision variational Bayesian inference of sparse linear networks. (English) Zbl 1447.93061 Automatica 118, Article ID 109017, 5 p. (2020). MSC: 93B30 93B70 93C05 62F15 92C42 PDF BibTeX XML Cite \textit{J. Jin} et al., Automatica 118, Article ID 109017, 5 p. (2020; Zbl 1447.93061) Full Text: DOI
Elmasri, Mohamad; Farrell, Maxwell J.; Davies, T. Jonathan; Stephens, David A. A hierarchical Bayesian model for predicting ecological interactions using scaled evolutionary relationships. (English) Zbl 1439.62236 Ann. Appl. Stat. 14, No. 1, 221-240 (2020). MSC: 62P12 62F15 62H20 PDF BibTeX XML Cite \textit{M. Elmasri} et al., Ann. Appl. Stat. 14, No. 1, 221--240 (2020; Zbl 1439.62236) Full Text: DOI Euclid
Ghose, Amur; Jaini, Priyank; Poupart, Pascal Learning directed acyclic graph SPNs in sub-quadratic time. (English) Zbl 1433.68342 Int. J. Approx. Reasoning 120, 48-73 (2020). MSC: 68T05 62H22 PDF BibTeX XML Cite \textit{A. Ghose} et al., Int. J. Approx. Reasoning 120, 48--73 (2020; Zbl 1433.68342) Full Text: DOI
West, Mike Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions. (English) Zbl 1436.62441 Ann. Inst. Stat. Math. 72, No. 1, 1-31 (2020). MSC: 62M10 62F15 62M20 62H12 62P05 62H22 PDF BibTeX XML Cite \textit{M. West}, Ann. Inst. Stat. Math. 72, No. 1, 1--31 (2020; Zbl 1436.62441) Full Text: DOI
Kolb, Samuel; Teso, Stefano; Dries, Anton; De Raedt, Luc Predictive spreadsheet autocompletion with constraints. (English) Zbl 1440.68218 Mach. Learn. 109, No. 2, 307-325 (2020). MSC: 68T05 62H22 PDF BibTeX XML Cite \textit{S. Kolb} et al., Mach. Learn. 109, No. 2, 307--325 (2020; Zbl 1440.68218) Full Text: DOI
Zhang, Tingting; Sun, Yinge; Li, Huazhang; Yan, Guofen; Tanabe, Seiji; Miao, Ruizhong; Wang, Yaotian; Caffo, Brian S.; Quigg, Mark S. Bayesian inference of a directional brain network model for intracranial EEG data. (English) Zbl 07160677 Comput. Stat. Data Anal. 144, Article ID 106847, 15 p. (2020). MSC: 62 PDF BibTeX XML Cite \textit{T. Zhang} et al., Comput. Stat. Data Anal. 144, Article ID 106847, 15 p. (2020; Zbl 07160677) Full Text: DOI
Imani, Mahdi; Dougherty, Edward R.; Braga-Neto, Ulisses Boolean Kalman filter and smoother under model uncertainty. (English) Zbl 1430.93212 Automatica 111, Article ID 108609, 14 p. (2020). MSC: 93E11 93E14 93C29 92C42 PDF BibTeX XML Cite \textit{M. Imani} et al., Automatica 111, Article ID 108609, 14 p. (2020; Zbl 1430.93212) Full Text: DOI
Caimo, Alberto; Gollini, Isabella A multilayer exponential random graph modelling approach for weighted networks. (English) Zbl 07135540 Comput. Stat. Data Anal. 142, Article ID 106825, 18 p. (2020). MSC: 62 PDF BibTeX XML Cite \textit{A. Caimo} and \textit{I. Gollini}, Comput. Stat. Data Anal. 142, Article ID 106825, 18 p. (2020; Zbl 07135540) Full Text: DOI
Antoniou, Josephina Game theory, the Internet of Things and 5G networks. Utilizing game theoretic models to characterize challenging scenarios. (English) Zbl 1435.91003 EAI/Springer Innovations in Communication and Computing. Cham: Springer (ISBN 978-3-030-16843-8/hbk; 978-3-030-16846-9/pbk; 978-3-030-16844-5/ebook). vii, 110 p. (2020). Reviewer: Agnieszka Rusinowska (Paris) MSC: 91-02 91A12 91A20 91A27 91A80 91B16 91B26 90B18 68M10 68M11 PDF BibTeX XML Cite \textit{J. Antoniou}, Game theory, the Internet of Things and 5G networks. Utilizing game theoretic models to characterize challenging scenarios. Cham: Springer (2020; Zbl 1435.91003) Full Text: DOI
Um, Kimoon; Hall, Eric J.; Katsoulakis, Markos A.; Tartakovsky, Daniel M. Causality and Bayesian network PDEs for multiscale representations of porous media. (English) Zbl 1453.62422 J. Comput. Phys. 394, 658-678 (2019). MSC: 62F15 76S05 35R60 PDF BibTeX XML Cite \textit{K. Um} et al., J. Comput. Phys. 394, 658--678 (2019; Zbl 1453.62422) Full Text: DOI
Nadiga, Balasubramanya; Jiang, Chiyu; Livescu, Daniel Leveraging Bayesian analysis to improve accuracy of approximate models. (English) Zbl 1453.62417 J. Comput. Phys. 394, 280-297 (2019). MSC: 62F15 76F55 76D06 68T07 PDF BibTeX XML Cite \textit{B. Nadiga} et al., J. Comput. Phys. 394, 280--297 (2019; Zbl 1453.62417) Full Text: DOI
Geneva, Nicholas; Zabaras, Nicholas Quantifying model form uncertainty in Reynolds-averaged turbulence models with Bayesian deep neural networks. (English) Zbl 1451.76059 J. Comput. Phys. 383, 125-147 (2019). MSC: 76F55 76D06 62M45 68T07 76M35 PDF BibTeX XML Cite \textit{N. Geneva} and \textit{N. Zabaras}, J. Comput. Phys. 383, 125--147 (2019; Zbl 1451.76059) Full Text: DOI
Donselaar, Nils Probabilistic parameterized polynomial time. (English) Zbl 1445.68115 Catania, Barbara (ed.) et al., SOFSEM 2019: theory and practice of computer science. 45th international conference on current trends in theory and practice of computer science, Nový Smokovec, Slovakia, January 27–30, 2019. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 11376, 179-191 (2019). MSC: 68Q27 62H22 68W20 PDF BibTeX XML Cite \textit{N. Donselaar}, Lect. Notes Comput. Sci. 11376, 179--191 (2019; Zbl 1445.68115) Full Text: DOI
Humbird, Kelli D.; Peterson, J. Luc; Mcclarren, Ryan G. Parameter inference with deep jointly informed neural networks. (English) Zbl 07260655 Stat. Anal. Data Min. 12, No. 6, 496-504 (2019). MSC: 62 68 PDF BibTeX XML Cite \textit{K. D. Humbird} et al., Stat. Anal. Data Min. 12, No. 6, 496--504 (2019; Zbl 07260655) Full Text: DOI
Jiang, Tao; Zheng, Yi-Xuan; Liu, Yu Bayesian networks in reliability modeling and assessment of multi-state systems. (English) Zbl 07229569 Li, Quan-Lin (ed.) et al., Stochastic models in reliability, network security and system safety. Essays dedicated to Professor Jinhua Cao on the occasion of his 80th birthday. Singapore: Springer (ISBN 978-981-15-0863-9/pbk; 978-981-15-0864-6/ebook). Communications in Computer and Information Science 1102, 199-228 (2019). MSC: 68Mxx PDF BibTeX XML Cite \textit{T. Jiang} et al., Commun. Comput. Inf. Sci. 1102, 199--228 (2019; Zbl 07229569) Full Text: DOI
Renooij, Silja; van der Gaag, Linda C. The hidden elegance of causal interaction models. (English) Zbl 1440.68297 Ben Amor, Nahla (ed.) et al., Scalable uncertainty management. 13th international conference, SUM 2019, Compiègne, France, December 16–18, 2019. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 11940, 38-51 (2019). MSC: 68T37 PDF BibTeX XML Cite \textit{S. Renooij} and \textit{L. C. van der Gaag}, Lect. Notes Comput. Sci. 11940, 38--51 (2019; Zbl 1440.68297) Full Text: DOI
Teferra, Kirubel; Brewick, Patrick T. A Bayesian model calibration framework to evaluate brain tissue characterization experiments. (English) Zbl 1442.62062 Comput. Methods Appl. Mech. Eng. 357, Article ID 112604, 17 p. (2019). MSC: 62F15 62-08 74L15 92B20 PDF BibTeX XML Cite \textit{K. Teferra} and \textit{P. T. Brewick}, Comput. Methods Appl. Mech. Eng. 357, Article ID 112604, 17 p. (2019; Zbl 1442.62062) Full Text: DOI
Koudia, Seid; Gharbi, Abdelhakim Superposition of causal orders for quantum discrimination of quantum processes. (English) Zbl 1447.81149 Int. J. Quantum Inf. 17, No. 7, Article ID 1950055, 12 p. (2019). MSC: 81S22 81P45 81P68 81P18 62F15 93C30 81P73 PDF BibTeX XML Cite \textit{S. Koudia} and \textit{A. Gharbi}, Int. J. Quantum Inf. 17, No. 7, Article ID 1950055, 12 p. (2019; Zbl 1447.81149) Full Text: DOI
Scutari, Marco; Graafland, Catharina Elisabeth; Gutiérrez, José Manuel Who learns better Bayesian network structures: accuracy and speed of structure learning algorithms. (English) Zbl 07174642 Int. J. Approx. Reasoning 115, 235-253 (2019). MSC: 68T37 PDF BibTeX XML Cite \textit{M. Scutari} et al., Int. J. Approx. Reasoning 115, 235--253 (2019; Zbl 07174642) Full Text: DOI
Talvitie, Topi; Eggeling, Ralf; Koivisto, Mikko Learning Bayesian networks with local structure, mixed variables, and exact algorithms. (English) Zbl 07174633 Int. J. Approx. Reasoning 115, 69-95 (2019). MSC: 68T37 PDF BibTeX XML Cite \textit{T. Talvitie} et al., Int. J. Approx. Reasoning 115, 69--95 (2019; Zbl 07174633) Full Text: DOI
Bucur, Ioan Gabriel; Claassen, Tom; Heskes, Tom Large-scale local causal inference of gene regulatory relationships. (English) Zbl 07174632 Int. J. Approx. Reasoning 115, 50-68 (2019). MSC: 68T37 PDF BibTeX XML Cite \textit{I. G. Bucur} et al., Int. J. Approx. Reasoning 115, 50--68 (2019; Zbl 07174632) Full Text: DOI
Choi, Arthur; Wang, Ruocheng; Darwiche, Adnan On the relative expressiveness of Bayesian and neural networks. (English) Zbl 07174610 Int. J. Approx. Reasoning 113, 303-323 (2019). MSC: 68T37 PDF BibTeX XML Cite \textit{A. Choi} et al., Int. J. Approx. Reasoning 113, 303--323 (2019; Zbl 07174610) Full Text: DOI
Puerta, Jose M.; Aledo, Juan Ángel; Gámez, José Antonio; Laborda, Jorge D. Structural fusion/aggregation of Bayesian networks via greedy equivalence search learning algorithm. (English) Zbl 07170153 Kern-Isberner, Gabriele (ed.) et al., Symbolic and quantitative approaches to reasoning with uncertainty. 15th European conference, ECSQARU 2019, Belgrade, Serbia, September 18–20, 2019. Proceedings. Cham: Springer (ISBN 978-3-030-29764-0/pbk; 978-3-030-29765-7/ebook). Lecture Notes in Computer Science 11726. Lecture Notes in Artificial Intelligence, 432-443 (2019). MSC: 68T37 PDF BibTeX XML Cite \textit{J. M. Puerta} et al., Lect. Notes Comput. Sci. 11726, 432--443 (2019; Zbl 07170153) Full Text: DOI
Wieten, Remi; Bex, Floris; Prakken, Henry; Renooij, Silja Constructing Bayesian network graphs from labeled arguments. (English) Zbl 07170126 Kern-Isberner, Gabriele (ed.) et al., Symbolic and quantitative approaches to reasoning with uncertainty. 15th European conference, ECSQARU 2019, Belgrade, Serbia, September 18–20, 2019. Proceedings. Cham: Springer (ISBN 978-3-030-29764-0/pbk; 978-3-030-29765-7/ebook). Lecture Notes in Computer Science 11726. Lecture Notes in Artificial Intelligence, 99-110 (2019). MSC: 68T37 PDF BibTeX XML Cite \textit{R. Wieten} et al., Lect. Notes Comput. Sci. 11726, 99--110 (2019; Zbl 07170126) Full Text: DOI
Kim, Junghi; Do, Kim-Anh; Ha, Min Jin; Peterson, Christine B. Bayesian inference of hub nodes across multiple networks. (English) Zbl 1436.62581 Biometrics 75, No. 1, 172-182 (2019). MSC: 62P10 62H22 PDF BibTeX XML Cite \textit{J. Kim} et al., Biometrics 75, No. 1, 172--182 (2019; Zbl 1436.62581) Full Text: DOI
Isomura, Takuya; Parr, Thomas; Friston, Karl Bayesian filtering with multiple internal models: toward a theory of social intelligence. (English) Zbl 1429.92146 Neural Comput. 31, No. 12, 2390-2431 (2019). MSC: 92D50 92B20 PDF BibTeX XML Cite \textit{T. Isomura} et al., Neural Comput. 31, No. 12, 2390--2431 (2019; Zbl 1429.92146) Full Text: DOI
Ghosh, Soumya; Yao, Jiayu; Doshi-Velez, Finale Model selection in Bayesian neural networks via horseshoe priors. (English) Zbl 1433.68392 J. Mach. Learn. Res. 20, Paper No. 182, 46 p. (2019). MSC: 68T07 62F15 62H22 62M45 PDF BibTeX XML Cite \textit{S. Ghosh} et al., J. Mach. Learn. Res. 20, Paper No. 182, 46 p. (2019; Zbl 1433.68392) Full Text: Link
Burkhardt, Sophie; Kramer, Stefan Decoupling sparsity and smoothness in the Dirichlet variational autoencoder topic model. (English) Zbl 1434.68399 J. Mach. Learn. Res. 20, Paper No. 131, 27 p. (2019). MSC: 68T05 62F15 62G05 68T07 PDF BibTeX XML Cite \textit{S. Burkhardt} and \textit{S. Kramer}, J. Mach. Learn. Res. 20, Paper No. 131, 27 p. (2019; Zbl 1434.68399) Full Text: Link
Srinivasan, Ashwin; Vig, Lovekesh; Bain, Michael Logical explanations for deep relational machines using relevance information. (English) Zbl 1434.68559 J. Mach. Learn. Res. 20, Paper No. 130, 47 p. (2019). MSC: 68T27 62C10 68N17 68T07 PDF BibTeX XML Cite \textit{A. Srinivasan} et al., J. Mach. Learn. Res. 20, Paper No. 130, 47 p. (2019; Zbl 1434.68559) Full Text: Link
Osband, Ian; van Roy, Benjamin; Russo, Daniel J.; Wen, Zheng Deep exploration via randomized value functions. (English) Zbl 1434.68515 J. Mach. Learn. Res. 20, Paper No. 124, 62 p. (2019). MSC: 68T07 62F15 62L10 90C40 PDF BibTeX XML Cite \textit{I. Osband} et al., J. Mach. Learn. Res. 20, Paper No. 124, 62 p. (2019; Zbl 1434.68515) Full Text: Link
Park, Gunwoong; Park, Sion High-dimensional Poisson structural equation model learning via \(\ell_1\)-regularized regression. (English) Zbl 1434.68445 J. Mach. Learn. Res. 20, Paper No. 95, 41 p. (2019). MSC: 68T05 62F07 62H12 PDF BibTeX XML Cite \textit{G. Park} and \textit{S. Park}, J. Mach. Learn. Res. 20, Paper No. 95, 41 p. (2019; Zbl 1434.68445) Full Text: Link
Metelli, Silvia; Heard, Nicholas On Bayesian new edge prediction and anomaly detection in computer networks. (English) Zbl 1437.62234 Ann. Appl. Stat. 13, No. 4, 2586-2610 (2019). MSC: 62H30 60G55 62P25 62H22 PDF BibTeX XML Cite \textit{S. Metelli} and \textit{N. Heard}, Ann. Appl. Stat. 13, No. 4, 2586--2610 (2019; Zbl 1437.62234) Full Text: DOI Euclid
Cozman, Fabio Gagliardi; Mauá, Denis Deratani The finite model theory of Bayesian network specifications: descriptive complexity and zero/one laws. (English) Zbl 07146944 Int. J. Approx. Reasoning 110, 107-126 (2019). MSC: 68T37 PDF BibTeX XML Cite \textit{F. G. Cozman} and \textit{D. D. Mauá}, Int. J. Approx. Reasoning 110, 107--126 (2019; Zbl 07146944) Full Text: DOI
Huang, Zhiming; Yang, Lin; Jiang, Wen Uncertainty measurement with belief entropy on the interference effect in the quantum-like Bayesian networks. (English) Zbl 1429.91107 Appl. Math. Comput. 347, 417-428 (2019). MSC: 91B06 81P15 91B80 81P45 62B10 PDF BibTeX XML Cite \textit{Z. Huang} et al., Appl. Math. Comput. 347, 417--428 (2019; Zbl 1429.91107) Full Text: DOI
Minh, Do Le Paul; Duong, Truong Thi Thuy Bayesian networks: the minimal triangulations of a graph. (English) Zbl 1434.68367 Theor. Comput. Sci. 795, 1-8 (2019). MSC: 68R10 05C85 PDF BibTeX XML Cite \textit{D. Le P. Minh} and \textit{T. T. T. Duong}, Theor. Comput. Sci. 795, 1--8 (2019; Zbl 1434.68367) Full Text: DOI
İçen, Duygu; Ersel, Derya A new approach for probability calculation of fuzzy events in Bayesian networks. (English) Zbl 07119671 Int. J. Approx. Reasoning 108, 76-88 (2019). MSC: 62H86 60A86 PDF BibTeX XML Cite \textit{D. İçen} and \textit{D. Ersel}, Int. J. Approx. Reasoning 108, 76--88 (2019; Zbl 07119671) Full Text: DOI
Perreault, Logan; Sheppard, John Compact structures for continuous time Bayesian networks. (English) Zbl 07119653 Int. J. Approx. Reasoning 109, 19-41 (2019). MSC: 68T37 PDF BibTeX XML Cite \textit{L. Perreault} and \textit{J. Sheppard}, Int. J. Approx. Reasoning 109, 19--41 (2019; Zbl 07119653) Full Text: DOI
Scutari, Marco; Vitolo, Claudia; Tucker, Allan Learning Bayesian networks from big data with greedy search: computational complexity and efficient implementation. (English) Zbl 1430.62275 Stat. Comput. 29, No. 5, 1095-1108 (2019). MSC: 62R07 68T05 62-08 62P10 62P12 PDF BibTeX XML Cite \textit{M. Scutari} et al., Stat. Comput. 29, No. 5, 1095--1108 (2019; Zbl 1430.62275) Full Text: DOI
Vernon, Ian; Jackson, Samuel E.; Cumming, Jonathan A. Known boundary emulation of complex computer models. (English) Zbl 1430.62238 SIAM/ASA J. Uncertain. Quantif. 7, 838-876 (2019). MSC: 62P10 62F15 92C42 PDF BibTeX XML Cite \textit{I. Vernon} et al., SIAM/ASA J. Uncertain. Quantif. 7, 838--876 (2019; Zbl 1430.62238) Full Text: DOI
Wang, Chengyuan; Xu, Jiujun; Yan, Zhijun Fault diagnosis method of dynamic Bayesian network based on timeliness analysis. (Chinese. English summary) Zbl 1438.94090 J. Dalian Univ. Technol. 59, No. 2, 201-210 (2019). MSC: 94C12 PDF BibTeX XML Cite \textit{C. Wang} et al., J. Dalian Univ. Technol. 59, No. 2, 201--210 (2019; Zbl 1438.94090) Full Text: DOI
Wang, Limin; Jiang, Hanmin \(K\)-dependence Bayesian classifiers for strengthening attribute dependencies. (Chinese. English summary) Zbl 1438.68128 Control Decis. 34, No. 6, 1234-1240 (2019). MSC: 68T05 68T37 PDF BibTeX XML Cite \textit{L. Wang} and \textit{H. Jiang}, Control Decis. 34, No. 6, 1234--1240 (2019; Zbl 1438.68128) Full Text: DOI
Zhu, Mingmin; Liu, Sanyang An improved Bhattacharyya divergence for sensitivity analysis of covariance matrices in Gaussian Bayesian networks. (Chinese. English summary) Zbl 1438.62138 J. Zhejiang Univ., Sci. Ed. 46, No. 1, 9-14, 21 (2019). MSC: 62J10 62H12 PDF BibTeX XML Cite \textit{M. Zhu} and \textit{S. Liu}, J. Zhejiang Univ., Sci. Ed. 46, No. 1, 9--14, 21 (2019; Zbl 1438.62138) Full Text: DOI
Kovachki, Nikola B.; Stuart, Andrew M. Ensemble Kalman inversion: a derivative-free technique for machine learning tasks. (English) Zbl 1430.68266 Inverse Probl. 35, No. 9, Article ID 095005, 35 p. (2019). MSC: 68T05 60G35 62F15 68T07 PDF BibTeX XML Cite \textit{N. B. Kovachki} and \textit{A. M. Stuart}, Inverse Probl. 35, No. 9, Article ID 095005, 35 p. (2019; Zbl 1430.68266) Full Text: DOI
de Campos, Luis M.; Cano, Andrés; Castellano, Javier G.; Moral, Serafín Combining gene expression data and prior knowledge for inferring gene regulatory networks via Bayesian networks using structural restrictions. (English) Zbl 1420.92019 Stat. Appl. Genet. Mol. Biol. 18, No. 3, Article ID 20180042, 14 p. (2019). MSC: 92C40 92C42 62P10 62F15 PDF BibTeX XML Cite \textit{L. M. de Campos} et al., Stat. Appl. Genet. Mol. Biol. 18, No. 3, Article ID 20180042, 14 p. (2019; Zbl 1420.92019) Full Text: DOI
Billio, Monica; Casarin, Roberto; Rossini, Luca Bayesian nonparametric sparse VAR models. (English) Zbl 1452.62883 J. Econom. 212, No. 1, 97-115 (2019). MSC: 62P20 62G05 62F15 62M10 62P05 PDF BibTeX XML Cite \textit{M. Billio} et al., J. Econom. 212, No. 1, 97--115 (2019; Zbl 1452.62883) Full Text: DOI
Benjumeda, Marco; Bielza, Concha; Larrañaga, Pedro Learning tractable Bayesian networks in the space of elimination orders. (English) Zbl 07099214 Artif. Intell. 274, 66-90 (2019). MSC: 68T PDF BibTeX XML Cite \textit{M. Benjumeda} et al., Artif. Intell. 274, 66--90 (2019; Zbl 07099214) Full Text: DOI
Du, Ke-Lin; Swamy, M. N. S. Neural networks and statistical learning. 2nd updated edition. (English) Zbl 1437.62001 London: Springer (ISBN 978-1-4471-7451-6/hbk; 978-1-4471-7452-3/ebook). xxx, 988 p. (2019). Reviewer: Ludwig Paditz (Dresden) MSC: 62-01 62M45 62H25 62F15 68T05 94D05 62R07 PDF BibTeX XML Cite \textit{K.-L. Du} and \textit{M. N. S. Swamy}, Neural networks and statistical learning. 2nd updated edition. London: Springer (2019; Zbl 1437.62001) Full Text: DOI
Mariappan, Ragunathan; Rajan, Vaibhav Deep collective matrix factorization for augmented multi-view learning. (English) Zbl 1431.68109 Mach. Learn. 108, No. 8-9, 1395-1420 (2019). Reviewer: Yunwen Lei (Hong Kong) MSC: 68T05 62P10 68T07 PDF BibTeX XML Cite \textit{R. Mariappan} and \textit{V. Rajan}, Mach. Learn. 108, No. 8--9, 1395--1420 (2019; Zbl 1431.68109) Full Text: DOI
Ramchoun, Hassan; Ettaouil, Mohamed Hamiltonian Monte Carlo based on evidence framework for Bayesian learning to neural network. (English) Zbl 1418.65003 Soft Comput. 23, No. 13, 4815-4825 (2019). MSC: 65C05 68T05 62F15 92B20 PDF BibTeX XML Cite \textit{H. Ramchoun} and \textit{M. Ettaouil}, Soft Comput. 23, No. 13, 4815--4825 (2019; Zbl 1418.65003) Full Text: DOI
Kolar Purushothama, Naveen Coexistence of LTE-unlicensed and WiFi with optimal channel aggregation. (English) Zbl 1417.91241 Walrand, Jean (ed.) et al., Network games, control, and optimization. Proceedings of NETGCOOP 2018, New York, NY, USA, November 14–16, 2018. Cham: Birkhäuser. Static Dyn. Game Theory: Found. Appl., 37-54 (2019). MSC: 91B26 90B18 PDF BibTeX XML Cite \textit{N. Kolar Purushothama}, in: Network games, control, and optimization. Proceedings of NETGCOOP 2018, New York, NY, USA, November 14--16, 2018. Cham: Birkhäuser. 37--54 (2019; Zbl 1417.91241) Full Text: DOI
Warnow, Tandy (ed.) Bioinformatics and phylogenetics. Seminal contributions of Bernard Moret. (English) Zbl 1429.92003 Computational Biology 29. Cham: Springer (ISBN 978-3-030-10836-6/hbk; 978-3-030-10837-3/ebook). xxv, 410 p. (2019). Reviewer: Irina Ioana Mohorianu (Oxford) MSC: 92-06 00B15 92D15 92C42 90C10 PDF BibTeX XML Cite \textit{T. Warnow} (ed.), Bioinformatics and phylogenetics. Seminal contributions of Bernard Moret. Cham: Springer (2019; Zbl 1429.92003) Full Text: DOI Link
Gandy, Axel; Veraart, Luitgard Anna Maria Adjustable network reconstruction with applications to CDS exposures. (English) Zbl 1419.62296 J. Multivariate Anal. 172, 193-209 (2019). MSC: 62P05 62F15 05C90 05C80 91G99 PDF BibTeX XML Cite \textit{A. Gandy} and \textit{L. A. M. Veraart}, J. Multivariate Anal. 172, 193--209 (2019; Zbl 1419.62296) Full Text: DOI
Rappel, H.; Beex, Lars A. A. Estimating fibres’ material parameter distributions from limited data with the help of Bayesian inference. (English) Zbl 07067449 Eur. J. Mech., A, Solids 75, 169-196 (2019). MSC: 74 PDF BibTeX XML Cite \textit{H. Rappel} and \textit{L. A. A. Beex}, Eur. J. Mech., A, Solids 75, 169--196 (2019; Zbl 07067449) Full Text: DOI
Azzimonti, Laura; Corani, Giorgio; Zaffalon, Marco Hierarchical estimation of parameters in Bayesian networks. (English) Zbl 07058807 Comput. Stat. Data Anal. 137, 67-91 (2019). MSC: 62 PDF BibTeX XML Cite \textit{L. Azzimonti} et al., Comput. Stat. Data Anal. 137, 67--91 (2019; Zbl 07058807) Full Text: DOI
Prügel-Bennett, Adam The probability companion for engineering and computer science. (English) Zbl 07057351 Cambridge: Cambridge University Press (ISBN 978-1-108-48053-6/hbk; 978-1-108-72770-9/pbk; 978-1-108-63534-9/ebook). xv, 457 p. (2019). Reviewer: Ludwig Paditz (Dresden) MSC: 60-01 00A06 00-01 62P30 60J20 60G15 PDF BibTeX XML Cite \textit{A. Prügel-Bennett}, The probability companion for engineering and computer science. Cambridge: Cambridge University Press (2019; Zbl 07057351) Full Text: DOI
Rastelli, Riccardo Exact integrated completed likelihood maximisation for the stochastic block transition model. (Maximisation d’un critère exact de classification pour un modèle des blocs latents pour les réseaux dynamiques.) (English. French summary) Zbl 1423.90041 J. SFdS 160, No. 1, 35-56 (2019). Reviewer: Michael Stolz (Münster) MSC: 90B15 90C27 62F15 PDF BibTeX XML Cite \textit{R. Rastelli}, J. SFdS 160, No. 1, 35--56 (2019; Zbl 1423.90041) Full Text: Link
Maragoudakis, Manolis Data analysis, simulation and visualization for environmentally safe maritime data. (English) Zbl 07052226 Algorithms (Basel) 12, No. 1, Paper No. 27, 22 p. (2019). MSC: 90 91 PDF BibTeX XML Cite \textit{M. Maragoudakis}, Algorithms (Basel) 12, No. 1, Paper No. 27, 22 p. (2019; Zbl 07052226) Full Text: DOI
Borboudakis, Giorgos; Tsamardinos, Ioannis Forward-backward selection with early dropping. (English) Zbl 07049727 J. Mach. Learn. Res. 20, Paper No. 8, 39 p. (2019). MSC: 68T05 PDF BibTeX XML Cite \textit{G. Borboudakis} and \textit{I. Tsamardinos}, J. Mach. Learn. Res. 20, Paper No. 8, 39 p. (2019; Zbl 07049727) Full Text: Link
Bianchi, Daniele; Billio, Monica; Casarin, Roberto; Guidolin, Massimo Modeling systemic risk with Markov switching graphical SUR models. (English) Zbl 1452.62743 J. Econom. 210, No. 1, 58-74 (2019). MSC: 62P05 62M05 62F15 62M10 91G45 PDF BibTeX XML Cite \textit{D. Bianchi} et al., J. Econom. 210, No. 1, 58--74 (2019; Zbl 1452.62743) Full Text: DOI
Zareh, Masoumeh; Manshaei, Mohammad Hossein; Adibi, Mehdi; Montazeri, Mohammad Ali Neurons and astrocytes interaction in neuronal network: a game-theoretic approach. (English) Zbl 1411.92011 J. Theor. Biol. 470, 76-89 (2019). MSC: 92B20 92C20 91A25 PDF BibTeX XML Cite \textit{M. Zareh} et al., J. Theor. Biol. 470, 76--89 (2019; Zbl 1411.92011) Full Text: DOI
Dechter, Rina Reasoning with probabilistic and deterministic graphical models. Exact algorithms. 2nd edition. (English) Zbl 1411.68006 Synthesis Lectures on Artificial Intelligence and Machine Learning 41. San Rafael, CA: Morgan & Claypool Publishers (ISBN 978-1-6817-3490-3/pbk; 978-1-6817-3492-7/hbk; 978-1-6817-3491-0/ebook). xiv, 185 p. (2019). MSC: 68-02 62-09 62H30 68T05 68T10 68T30 PDF BibTeX XML Cite \textit{R. Dechter}, Reasoning with probabilistic and deterministic graphical models. Exact algorithms. 2nd edition. San Rafael, CA: Morgan \& Claypool Publishers (2019; Zbl 1411.68006) Full Text: DOI
Nimark, Kristoffer P.; Sundaresan, Savitar Inattention and belief polarization. (English) Zbl 1419.91562 J. Econ. Theory 180, 203-228 (2019). MSC: 91D30 94A17 91F10 PDF BibTeX XML Cite \textit{K. P. Nimark} and \textit{S. Sundaresan}, J. Econ. Theory 180, 203--228 (2019; Zbl 1419.91562) Full Text: DOI
Li, Lingge; Holbrook, Andrew; Shahbaba, Babak; Baldi, Pierre Neural network gradient Hamiltonian Monte Carlo. (English) Zbl 1417.65014 Comput. Stat. 34, No. 1, 281-299 (2019). MSC: 65C05 62F15 65C60 PDF BibTeX XML Cite \textit{L. Li} et al., Comput. Stat. 34, No. 1, 281--299 (2019; Zbl 1417.65014) Full Text: DOI
Xiang, Yang Direct causal structure extraction from pairwise interaction patterns in NAT modeling Bayesian networks. (English) Zbl 1452.68163 Int. J. Approx. Reasoning 105, 175-193 (2019). MSC: 68T05 62H22 PDF BibTeX XML Cite \textit{Y. Xiang}, Int. J. Approx. Reasoning 105, 175--193 (2019; Zbl 1452.68163) Full Text: DOI
Constantinou, Anthony C. Dolores: a model that predicts football match outcomes from all over the world. (English) Zbl 07024627 Mach. Learn. 108, No. 1, 49-75 (2019). MSC: 68T05 PDF BibTeX XML Cite \textit{A. C. Constantinou}, Mach. Learn. 108, No. 1, 49--75 (2019; Zbl 07024627) Full Text: DOI
Sanguinetti, Guido (ed.); Huynh-Thu, Vân Anh (ed.) Gene regulatory networks. Methods and protocols. (English) Zbl 1417.92005 Methods in Molecular Biology 1883. New York, NY: Humana Press (ISBN 978-1-4939-8881-5/hbk; 978-1-4939-8882-2/ebook). xi, 430 p. (2019). Reviewer: Irina Ioana Mohorianu (Oxford) MSC: 92-06 92C42 92C40 92-08 PDF BibTeX XML Cite \textit{G. Sanguinetti} (ed.) and \textit{V. A. Huynh-Thu} (ed.), Gene regulatory networks. Methods and protocols. New York, NY: Humana Press (2019; Zbl 1417.92005) Full Text: DOI
C. Mason, John; W. Covert, Markus An energetic reformulation of kinetic rate laws enables scalable parameter estimation for biochemical networks. (English) Zbl 1406.92234 J. Theor. Biol. 461, 145-156 (2019). MSC: 92C42 92C45 92C37 62F15 62P10 PDF BibTeX XML Cite \textit{J. C. Mason} and \textit{M. W. Covert}, J. Theor. Biol. 461, 145--156 (2019; Zbl 1406.92234) Full Text: DOI
Cespedes, Marcela I. Detection of longitudinal brain atrophy patterns consistent with progression towards Alzheimer’s disease. (Abstract of thesis). (English) Zbl 1407.62398 Bull. Aust. Math. Soc. 99, No. 1, 174-176 (2019). MSC: 62P10 62C10 60J10 62J10 65C05 92C55 PDF BibTeX XML Cite \textit{M. I. Cespedes}, Bull. Aust. Math. Soc. 99, No. 1, 174--176 (2019; Zbl 1407.62398) Full Text: DOI