Panda, Nishant; Fernández-Godino, M. Giselle; Godinez, Humberto C.; Dawson, Clint A data-driven non-linear assimilation framework with neural networks. (English) Zbl 1453.86042 Comput. Geosci. 25, No. 1, 233-242 (2021). MSC: 86A32 86A22 PDF BibTeX XML Cite \textit{N. Panda} et al., Comput. Geosci. 25, No. 1, 233--242 (2021; Zbl 1453.86042) Full Text: DOI
Heber, Frederik; Trst’anová, Žofia; Leimkuhler, Benedict Posterior sampling strategies based on discretized stochastic differential equations for machine learning applications. (English) Zbl 07307488 J. Mach. Learn. Res. 21, Paper No. 228, 33 p. (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{F. Heber} et al., J. Mach. Learn. Res. 21, Paper No. 228, 33 p. (2020; Zbl 07307488) Full Text: Link
Gu, Jiaying; Zhou, Qing Learning big Gaussian Bayesian networks: partition, estimation and fusion. (English) Zbl 07307465 J. Mach. Learn. Res. 21, Paper No. 158, 31 p. (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{J. Gu} and \textit{Q. Zhou}, J. Mach. Learn. Res. 21, Paper No. 158, 31 p. (2020; Zbl 07307465) Full Text: Link
Tenzer, Yaniv; Moscovich, Amit; Dorn, Mary Frances; Nadler, Boaz; Spiegelman, Clifford Beyond trees: classification with sparse pairwise dependencies. (English) Zbl 07306885 J. Mach. Learn. Res. 21, Paper No. 189, 33 p. (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{Y. Tenzer} et al., J. Mach. Learn. Res. 21, Paper No. 189, 33 p. (2020; Zbl 07306885) Full Text: Link
Kim, Doyeob; Kim, Sung-Ho A short note on improvement of agreement rate. (English) Zbl 07300760 J. Classif. 37, No. 3, 550-557 (2020). MSC: 62H30 PDF BibTeX XML Cite \textit{D. Kim} and \textit{S.-H. Kim}, J. Classif. 37, No. 3, 550--557 (2020; Zbl 07300760) 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
Hu, Jianwei; Qin, Hong; Yan, Ting; Zhao, Yunpeng Corrected Bayesian information criterion for stochastic block models. (English) Zbl 1452.62154 J. Am. Stat. Assoc. 115, No. 532, 1771-1783 (2020). MSC: 62C10 62M45 PDF BibTeX XML Cite \textit{J. Hu} et al., J. Am. Stat. Assoc. 115, No. 532, 1771--1783 (2020; Zbl 1452.62154) Full Text: DOI
Wang, Haiyu; Liu, Haoran; Zhang, Liyue; Zhang, Chunlan; Liu, Bin Local Bayesian network structure searching using constraint of node chunk sequence. (Chinese. English summary) Zbl 07294809 Acta Autom. Sin. 46, No. 6, 1210-1219 (2020). MSC: 68T05 68T20 PDF BibTeX XML Cite \textit{H. Wang} et al., Acta Autom. Sin. 46, No. 6, 1210--1219 (2020; Zbl 07294809) Full Text: DOI
Lee, Francis; Butts, Carter T. On the validity of perceived social structure. (English) Zbl 07290598 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 07290598) Full Text: DOI
Igarashi, Mirai; Terui, Nobuhiko Characterization of topic-based online communities by combining network data and user generated content. (English) Zbl 1452.62975 Stat. Comput. 30, No. 5, 1309-1324 (2020). MSC: 62P25 62M45 62F15 PDF BibTeX XML Cite \textit{M. Igarashi} and \textit{N. Terui}, Stat. Comput. 30, No. 5, 1309--1324 (2020; Zbl 1452.62975) Full Text: DOI
Guo, Xiao; Zhang, Hai Sparse directed acyclic graphs incorporating the covariates. (English) Zbl 1452.62403 Stat. Pap. 61, No. 5, 2119-2148 (2020). MSC: 62H22 62H12 62J07 62F12 62P10 PDF BibTeX XML Cite \textit{X. Guo} and \textit{H. Zhang}, Stat. Pap. 61, No. 5, 2119--2148 (2020; Zbl 1452.62403) 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
Liu, Shangwang; Zhao, Xinying; Yang, Lei Saliency detection via fused global and local information. (Chinese. English summary) Zbl 07266815 J. Henan Norm. Univ., Nat. Sci. 48, No. 3, 26-33 (2020). MSC: 68U10 68T45 PDF BibTeX XML Cite \textit{S. Liu} et al., J. Henan Norm. Univ., Nat. Sci. 48, No. 3, 26--33 (2020; Zbl 07266815) Full Text: DOI
Gao, Xiaoguang; Wang, Chenfeng; Di, Ruohai A block learning algorithm with improved \(K\)-means algorithm for learning sparse BN optimal structure. (Chinese. English summary) Zbl 07266294 Acta Autom. Sin. 46, No. 5, 923-933 (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{X. Gao} et al., Acta Autom. Sin. 46, No. 5, 923--933 (2020; Zbl 07266294) Full Text: DOI
Park, Gunwoong Identifiability of additive noise models using conditional variances. (English) Zbl 07255106 J. Mach. Learn. Res. 21, Paper No. 75, 34 p. (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{G. Park}, J. Mach. Learn. Res. 21, Paper No. 75, 34 p. (2020; Zbl 07255106) Full Text: Link
Emek, Yuval; Kutten, Shay; Lavi, Ron; Shi, Yangguang Bayesian generalized network design. (English) Zbl 07248860 Theor. Comput. Sci. 841, 167-185 (2020). MSC: 68Q PDF BibTeX XML Cite \textit{Y. Emek} et al., Theor. Comput. Sci. 841, 167--185 (2020; Zbl 07248860) Full Text: DOI
Brinkhuis, Matthieu J. S.; Maris, Gunter Dynamic estimation in the extended marginal Rasch model with an application to mathematical computer-adaptive practice. (English) Zbl 1440.62376 Br. J. Math. Stat. Psychol. 73, No. 1, 72-87 (2020). MSC: 62P15 62B05 62D05 62-08 PDF BibTeX XML Cite \textit{M. J. S. Brinkhuis} and \textit{G. Maris}, Br. J. Math. Stat. Psychol. 73, No. 1, 72--87 (2020; Zbl 1440.62376) Full Text: DOI
Radev, Stefan T.; Mertens, Ulf K.; Voss, Andreas; Köthe, Ullrich Towards end-to-end likelihood-free inference with convolutional neural networks. (English) Zbl 1440.62344 Br. J. Math. Stat. Psychol. 73, No. 1, 23-43 (2020). MSC: 62M45 62P15 62F15 62-08 62D20 PDF BibTeX XML Cite \textit{S. T. Radev} et al., Br. J. Math. Stat. Psychol. 73, No. 1, 23--43 (2020; Zbl 1440.62344) Full Text: DOI
Tabouy, Timothée; Barbillon, Pierre; Chiquet, Julien Variational inference for stochastic block models from sampled data. (English) Zbl 1437.62072 J. Am. Stat. Assoc. 115, No. 529, 455-466 (2020). MSC: 62D10 68T20 62K10 62F15 65K10 PDF BibTeX XML Cite \textit{T. Tabouy} et al., J. Am. Stat. Assoc. 115, No. 529, 455--466 (2020; Zbl 1437.62072) Full Text: DOI
Halbersberg, Dan; Wienreb, Maydan; Lerner, Boaz Joint maximization of accuracy and information for learning the structure of a Bayesian network classifier. (English) Zbl 07224991 Mach. Learn. 109, No. 5, 1039-1099 (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{D. Halbersberg} et al., Mach. Learn. 109, No. 5, 1039--1099 (2020; Zbl 07224991) 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
Linardi, Fernando; Diks, Cees; van der Leij, Marco; Lazier, Iuri Dynamic interbank network analysis using latent space models. (English) Zbl 07197822 J. Econ. Dyn. Control 112, Article ID 103792, 22 p. (2020). MSC: 91 PDF BibTeX XML Cite \textit{F. Linardi} et al., J. Econ. Dyn. Control 112, Article ID 103792, 22 p. (2020; Zbl 07197822) Full Text: DOI
Hao, Zhinan; Xu, Zeshui; Zhao, Hua Several intuitionistic fuzzy multi-attribute decision making methods and their applications. (English) Zbl 07194768 Uncertainty and Operations Research. Singapore: Springer (ISBN 978-981-15-3890-2/hbk; 978-981-15-3891-9/ebook). ix, 121 p. (2020). Reviewer: Karel Zimmermann (Praha) MSC: 91-02 91B06 91B86 90B50 PDF BibTeX XML Cite \textit{Z. Hao} et al., Several intuitionistic fuzzy multi-attribute decision making methods and their applications. Singapore: Springer (2020; Zbl 07194768) Full Text: DOI
Wu, Ling; Zulueta, Kepa; Major, Zoltan; Arriaga, Aitor; Noels, Ludovic Bayesian inference of non-linear multiscale model parameters accelerated by a deep neural network. (English) Zbl 1441.74192 Comput. Methods Appl. Mech. Eng. 360, Article ID 112693, 17 p. (2020). MSC: 74Q20 62F15 62M45 65Z05 PDF BibTeX XML Cite \textit{L. Wu} et al., Comput. Methods Appl. Mech. Eng. 360, Article ID 112693, 17 p. (2020; Zbl 1441.74192) Full Text: DOI
Lin, Shenglin; Li, Wei; Ma, Ping; Yang, Ming Structural modelling and Bayesian inference for model validation and confidence extrapolation. (English) Zbl 07194282 J. Stat. Comput. Simulation 90, No. 2, 211-233 (2020). MSC: 62 PDF BibTeX XML Cite \textit{S. Lin} et al., J. Stat. Comput. Simulation 90, No. 2, 211--233 (2020; Zbl 07194282) Full Text: DOI
Riahi, Fatemeh; Schulte, Oliver Model-based exception mining for object-relational data. (English) Zbl 1433.68375 Data Min. Knowl. Discov. 34, No. 3, 681-722 (2020). MSC: 68T05 68T09 PDF BibTeX XML Cite \textit{F. Riahi} and \textit{O. Schulte}, Data Min. Knowl. Discov. 34, No. 3, 681--722 (2020; Zbl 1433.68375) 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
Kim, Gang-Hoo; Kim, Sung-Ho Marginal information for structure learning. (English) Zbl 1436.62210 Stat. Comput. 30, No. 2, 331-349 (2020). MSC: 62H17 62-08 68T05 PDF BibTeX XML Cite \textit{G.-H. Kim} and \textit{S.-H. Kim}, Stat. Comput. 30, No. 2, 331--349 (2020; Zbl 1436.62210) Full Text: DOI
Barbillon, Pierre; Schwaller, Loïc; Robin, Stéphane; Flachs, Andrew; Stone, Glenn Davis Epidemiologic network inference. (English) Zbl 1436.62508 Stat. Comput. 30, No. 1, 61-75 (2020). MSC: 62P10 62F15 62M10 PDF BibTeX XML Cite \textit{P. Barbillon} et al., Stat. Comput. 30, No. 1, 61--75 (2020; Zbl 1436.62508) Full Text: DOI
Park, Jong Hee; Sohn, Yunkyu Detecting structural changes in longitudinal network data. (English) Zbl 1436.62401 Bayesian Anal. 15, No. 1, 133-157 (2020). MSC: 62M05 62H11 62R10 62F15 62P99 62R40 PDF BibTeX XML Cite \textit{J. H. Park} and \textit{Y. Sohn}, Bayesian Anal. 15, No. 1, 133--157 (2020; Zbl 1436.62401) Full Text: DOI Euclid
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
Kwon, Yongchan; Won, Joong-Ho; Kim, Beom Joon; Paik, Myunghee Cho Uncertainty quantification using Bayesian neural networks in classification: application to biomedical image segmentation. (English) Zbl 07135531 Comput. Stat. Data Anal. 142, Article ID 106816, 17 p. (2020). MSC: 62 PDF BibTeX XML Cite \textit{Y. Kwon} et al., Comput. Stat. Data Anal. 142, Article ID 106816, 17 p. (2020; Zbl 07135531) Full Text: DOI
Das, Monidipa; Ghosh, Soumya K. Enhanced Bayesian network models for spatial time series prediction. Recent research trend in data-driven predictive analytics. (English) Zbl 1445.62001 Studies in Computational Intelligence 858. Cham: Springer (ISBN 978-3-030-27748-2/hbk; 978-3-030-27749-9/ebook). xxiii, 149 p. (2020). Reviewer: Jonas Šiaulys (Vilnius) MSC: 62-02 62M10 62M20 62C10 62F15 91B72 62A86 68T05 62H22 PDF BibTeX XML Cite \textit{M. Das} and \textit{S. K. Ghosh}, Enhanced Bayesian network models for spatial time series prediction. Recent research trend in data-driven predictive analytics. Cham: Springer (2020; Zbl 1445.62001) 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
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
Leguey, Ignacio; Larrañaga, Pedro; Bielza, Concha; Kato, Shogo A circular-linear dependence measure under Johnson-Wehrly distributions and its application in Bayesian networks. (English) Zbl 07284187 Inf. Sci. 486, 240-253 (2019). MSC: 62H11 62M30 94A17 PDF BibTeX XML Cite \textit{I. Leguey} et al., Inf. Sci. 486, 240--253 (2019; Zbl 07284187) Full Text: DOI
Hajian, Soheil; Hintermüller, Michael; Schillings, Claudia; Strogies, Nikolai A Bayesian approach to parameter identification in gas networks. (English) Zbl 1446.93038 Control Cybern. 48, No. 2, 377-402 (2019). MSC: 93C20 93C10 93C95 PDF BibTeX XML Cite \textit{S. Hajian} et al., Control Cybern. 48, No. 2, 377--402 (2019; Zbl 1446.93038)
Toyoda, Mitsuru Bayesian selection probability estimation for probabilistic Boolean networks. (English) Zbl 1451.93179 Asian J. Control 21, No. 6, 2513-2520 (2019). MSC: 93C29 93B70 93E03 PDF BibTeX XML Cite \textit{M. Toyoda}, Asian J. Control 21, No. 6, 2513--2520 (2019; Zbl 1451.93179) Full Text: DOI
Yang, Jiaoyun; Wang, Junda; Cheng, Wenjuan; Li, Lian Sampling to maintain approximate probability distribution under chi-square test. (English) Zbl 07229352 Sun, Xiaoming (ed.) et al., Theoretical computer science. 37th national conference, NCTCS 2019, Lanzhou, China, August 2–4, 2019. Revised selected papers. Singapore: Springer (ISBN 978-981-15-0104-3/pbk; 978-981-15-0105-0/ebook). Communications in Computer and Information Science 1069, 29-45 (2019). MSC: 62F03 62F15 62E10 62D05 PDF BibTeX XML Cite \textit{J. Yang} et al., Commun. Comput. Inf. Sci. 1069, 29--45 (2019; Zbl 07229352) 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
Qi, Xiaolong; Fan, Xiaocong; Gao, Yang; Liu, Yanfang Learning Bayesian network structures using weakest mutual-information-first strategy. (English) Zbl 07174620 Int. J. Approx. Reasoning 114, 84-98 (2019). MSC: 68T37 PDF BibTeX XML Cite \textit{X. Qi} et al., Int. J. Approx. Reasoning 114, 84--98 (2019; Zbl 07174620) Full Text: DOI
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
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
Nuel, G. Moments of the count of a regular expression in a heterogeneous random sequence. (English) Zbl 1428.60103 Methodol. Comput. Appl. Probab. 21, No. 3, 875-887 (2019). MSC: 60J10 60J22 PDF BibTeX XML Cite \textit{G. Nuel}, Methodol. Comput. Appl. Probab. 21, No. 3, 875--887 (2019; Zbl 1428.60103) Full Text: DOI
Li, Weidong; Zhang, Chuanrong Markov chain random fields in the perspective of spatial Bayesian networks and optimal neighborhoods for simulation of categorical fields. (English) Zbl 1428.62427 Comput. Geosci. 23, No. 5, 1087-1106 (2019). MSC: 62M40 60J20 62F15 90B15 PDF BibTeX XML Cite \textit{W. Li} and \textit{C. Zhang}, Comput. Geosci. 23, No. 5, 1087--1106 (2019; Zbl 1428.62427) Full Text: DOI
Schulte, Oliver Causal learning with Occam’s razor. (English) Zbl 07138885 Stud. Log. 107, No. 5, 991-1023 (2019). MSC: 03 PDF BibTeX XML Cite \textit{O. Schulte}, Stud. Log. 107, No. 5, 991--1023 (2019; Zbl 07138885) Full Text: DOI
Lian, Qinshu; Hodges, James S.; Chu, Haitao A Bayesian hierarchical summary receiver operating characteristic model for network meta-analysis of diagnostic tests. (English) Zbl 1428.62473 J. Am. Stat. Assoc. 114, No. 527, 949-961 (2019). MSC: 62P10 62J20 62N05 92C50 PDF BibTeX XML Cite \textit{Q. Lian} et al., J. Am. Stat. Assoc. 114, No. 527, 949--961 (2019; Zbl 1428.62473) Full Text: DOI
Gao, Xiao-guang; Guo, Zhi-gao; Ren, Hao; Yang, Yu; Chen, Da-qing; He, Chu-chao Learning Bayesian network parameters via minimax algorithm. (English) Zbl 07119670 Int. J. Approx. Reasoning 108, 62-75 (2019). MSC: 68T37 PDF BibTeX XML Cite \textit{X.-g. Gao} et al., Int. J. Approx. Reasoning 108, 62--75 (2019; Zbl 07119670) Full Text: DOI
Masmoudi, Khalil; Masmoudi, Afif A new class of continuous Bayesian networks. (English) Zbl 07119658 Int. J. Approx. Reasoning 109, 125-138 (2019). MSC: 68T37 PDF BibTeX XML Cite \textit{K. Masmoudi} and \textit{A. Masmoudi}, Int. J. Approx. Reasoning 109, 125--138 (2019; Zbl 07119658) Full Text: DOI
Gu, Jiaying; Fu, Fei; Zhou, Qing Penalized estimation of directed acyclic graphs from discrete data. (English) Zbl 1430.62018 Stat. Comput. 29, No. 1, 161-176 (2019). MSC: 62A09 05C90 62-08 PDF BibTeX XML Cite \textit{J. Gu} et al., Stat. Comput. 29, No. 1, 161--176 (2019; Zbl 1430.62018) Full Text: DOI
Zhao, Jianjun; Ho, Shen-Shyang Improving Bayesian network local structure learning via data-driven symmetry correction methods. (English) Zbl 07119101 Int. J. Approx. Reasoning 107, 101-121 (2019). MSC: 68T37 PDF BibTeX XML Cite \textit{J. Zhao} and \textit{S.-S. Ho}, Int. J. Approx. Reasoning 107, 101--121 (2019; Zbl 07119101) 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
Tabar, Vahid Rezaei; Fathipor, Hosna; Pérez-Sánchez, Horacio; Eskandari, Farzad; Plewczynski, Dariusz Mixture of forward-directed and backward-directed autoregressive hidden Markov models for time series modeling. (English) Zbl 1438.62153 J. Iran. Stat. Soc. JIRSS 18, No. 1, 89-112 (2019). MSC: 62M05 62M10 62H22 PDF BibTeX XML Cite \textit{V. R. Tabar} et al., J. Iran. Stat. Soc. JIRSS 18, No. 1, 89--112 (2019; Zbl 1438.62153) 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
van der Zander, Benito; Liśkiewicz, Maciej; Textor, Johannes Separators and adjustment sets in causal graphs: complete criteria and an algorithmic framework. (English) Zbl 07099192 Artif. Intell. 270, 1-40 (2019). MSC: 68T PDF BibTeX XML Cite \textit{B. van der Zander} et al., Artif. Intell. 270, 1--40 (2019; Zbl 07099192) Full Text: DOI
Geng, Junxian; Bhattacharya, Anirban; Pati, Debdeep Probabilistic community detection with unknown number of communities. (English) Zbl 1420.62271 J. Am. Stat. Assoc. 114, No. 526, 893-905 (2019). MSC: 62H30 62F15 62G10 91C20 PDF BibTeX XML Cite \textit{J. Geng} et al., J. Am. Stat. Assoc. 114, No. 526, 893--905 (2019; Zbl 1420.62271) Full Text: DOI arXiv
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
Ni, Yang; Stingo, Francesco C.; Baladandayuthapani, Veerabhadran Bayesian graphical regression. (English) Zbl 1418.62088 J. Am. Stat. Assoc. 114, No. 525, 184-197 (2019). MSC: 62F15 62G05 62M10 62P10 PDF BibTeX XML Cite \textit{Y. Ni} et al., J. Am. Stat. Assoc. 114, No. 525, 184--197 (2019; Zbl 1418.62088) 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
Senn, Stephen; Schmitz, Susanne; Schritz, Anna; Salah, Samir Random main effects of treatment: a case study with a network meta-analysis. (English) Zbl 1419.62439 Biom. J. 61, No. 2, 379-390 (2019). MSC: 62P10 62F15 62H99 PDF BibTeX XML Cite \textit{S. Senn} et al., Biom. J. 61, No. 2, 379--390 (2019; Zbl 1419.62439) Full Text: DOI
Wikle, Christopher K. Comparison of deep neural networks and deep hierarchical models for spatio-temporal data. (English) Zbl 1426.62362 J. Agric. Biol. Environ. Stat. 24, No. 2, 175-203 (2019). MSC: 62P12 68T05 62F15 62-01 PDF BibTeX XML Cite \textit{C. K. Wikle}, J. Agric. Biol. Environ. Stat. 24, No. 2, 175--203 (2019; Zbl 1426.62362) 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
Evans, Robin J.; Richardson, Thomas S. Smooth, identifiable supermodels of discrete DAG models with latent variables. (English) Zbl 1431.62230 Bernoulli 25, No. 2, 848-876 (2019). MSC: 62H12 62M45 60J05 PDF BibTeX XML Cite \textit{R. J. Evans} and \textit{T. S. Richardson}, Bernoulli 25, No. 2, 848--876 (2019; Zbl 1431.62230) Full Text: DOI Euclid arXiv
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
Christodoulou, George; Leonardi, Stefano; Sgouritsa, Alkmini Designing cost-sharing methods for Bayesian games. (English) Zbl 1409.91147 Theory Comput. Syst. 63, No. 1, 4-25 (2019). MSC: 91B32 91A10 90C15 PDF BibTeX XML Cite \textit{G. Christodoulou} et al., Theory Comput. Syst. 63, No. 1, 4--25 (2019; Zbl 1409.91147) 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
Irie, Kaoru; West, Mike Bayesian emulation for multi-step optimization in decision problems. (English) Zbl 1409.62173 Bayesian Anal. 14, No. 1, 137-160 (2019). MSC: 62M10 62F15 62C10 62P05 PDF BibTeX XML Cite \textit{K. Irie} and \textit{M. West}, Bayesian Anal. 14, No. 1, 137--160 (2019; Zbl 1409.62173) Full Text: DOI Euclid
Nemmers, Thomas; Narayan, Anjana; Banerjee, Sudipto Bayesian modeling and uncertainty quantification for descriptive social networks. (English) Zbl 06980041 Stat. Interface 12, No. 1, 181-191 (2019). MSC: 62 PDF BibTeX XML Cite \textit{T. Nemmers} et al., Stat. Interface 12, No. 1, 181--191 (2019; Zbl 06980041) Full Text: DOI
Costa, Lilia; Smith, James Q.; Nichols, Thomas A group analysis using the multiregression dynamic models for fMRI networked time series. (English) Zbl 1432.62294 J. Stat. Plann. Inference 198, 43-61 (2019). MSC: 62M10 62H30 62P10 92C55 PDF BibTeX XML Cite \textit{L. Costa} et al., J. Stat. Plann. Inference 198, 43--61 (2019; Zbl 1432.62294) Full Text: DOI
Cengiz, Mehmet Ali; Dünder, Emre; Şenel, Talat Energy performance evaluation of OECD countries using Bayesian stochastic frontier analysis and Bayesian network classifiers. (English) Zbl 07282642 J. Appl. Stat. 45, No. 1, 17-25 (2018). MSC: 62 PDF BibTeX XML Cite \textit{M. A. Cengiz} et al., J. Appl. Stat. 45, No. 1, 17--25 (2018; Zbl 07282642) Full Text: DOI
Sardinha, Roosevelt; Paes, Aline; Zaverucha, Gerson Revising the structure of Bayesian network classifiers in the presence of missing data. (English) Zbl 1440.68237 Inf. Sci. 439-440, 108-124 (2018). MSC: 68T05 62H30 PDF BibTeX XML Cite \textit{R. Sardinha} et al., Inf. Sci. 439--440, 108--124 (2018; Zbl 1440.68237) Full Text: DOI
Joe, Harry Parsimonious graphical dependence models constructed from vines. (English. French summary) Zbl 07193346 Can. J. Stat. 46, No. 4, 532-555 (2018). MSC: 62 PDF BibTeX XML Cite \textit{H. Joe}, Can. J. Stat. 46, No. 4, 532--555 (2018; Zbl 07193346) Full Text: DOI
Liu, Xuqing; Liu, Xinsheng Structure learning of Bayesian networks by continuous particle swarm optimization algorithms. (English) Zbl 07192618 J. Stat. Comput. Simulation 88, No. 8, 1528-1556 (2018). MSC: 62 PDF BibTeX XML Cite \textit{X. Liu} and \textit{X. Liu}, J. Stat. Comput. Simulation 88, No. 8, 1528--1556 (2018; Zbl 07192618) Full Text: DOI
Zhao, Xuehua; Liu, Xueyan; Chen, Huiling Network modelling and variational Bayesian inference for structure analysis of signed networks. (English) Zbl 07182461 Appl. Math. Modelling 61, 237-254 (2018). MSC: 68 90 PDF BibTeX XML Cite \textit{X. Zhao} et al., Appl. Math. Modelling 61, 237--254 (2018; Zbl 07182461) Full Text: DOI
Senthilnath, J.; Simha C., Sumanth; G., Nagaraj; Thapa, Meenakumari; Indiramma, M BELMKN: Bayesian extreme learning machines Kohonen network. (English) Zbl 07150359 Algorithms (Basel) 11, No. 5, Paper No. 56, 14 p. (2018). MSC: 68 94 PDF BibTeX XML Cite \textit{J. Senthilnath} et al., Algorithms (Basel) 11, No. 5, Paper No. 56, 14 p. (2018; Zbl 07150359) Full Text: DOI
Kallah-Dagadu, G.; Nkansah, B. K.; Howard, N. Probabilistic graphical modelling of causal effects among the occurrences of transcription factors in DNA sequence. (English) Zbl 1433.62307 JP J. Biostat. 15, No. 1, 39-64 (2018). MSC: 62P10 92D20 92B15 62A09 PDF BibTeX XML Cite \textit{G. Kallah-Dagadu} et al., JP J. Biostat. 15, No. 1, 39--64 (2018; Zbl 1433.62307) Full Text: DOI
Yao, Hongliang; Ai, Liuke; Wang, Hao; Li, Junzhao A structure maturity timing autoregressive algorithm for stock market prediction. (Chinese. English summary) Zbl 1438.62164 J. Hefei Univ. Technol., Nat. Sci. 41, No. 11, 1484-1490 (2018). MSC: 62M10 62M20 62P20 PDF BibTeX XML Cite \textit{H. Yao} et al., J. Hefei Univ. Technol., Nat. Sci. 41, No. 11, 1484--1490 (2018; Zbl 1438.62164) Full Text: DOI
Chen, Xiang; Tang, Junyong The flow prediction model in Internet of things based on Bayesian and causal ridge regression. (Chinese. English summary) Zbl 1424.62148 J. Sichuan Univ., Nat. Sci. Ed. 55, No. 5, 965-970 (2018). MSC: 62M20 68M10 90B18 62J07 PDF BibTeX XML Cite \textit{X. Chen} and \textit{J. Tang}, J. Sichuan Univ., Nat. Sci. Ed. 55, No. 5, 965--970 (2018; Zbl 1424.62148) Full Text: DOI
Hofer-Szabó, Gábor Bell’s local causality is a d-separation criterion. (English) Zbl 1414.81059 Ozawa, Masanao (ed.) et al., Reality and measurement in algebraic quantum theory. NWW 2015, Nagoya, Japan, March 9–13, 2015. Selected papers based on presentations at the Nagoya winter workshop 2015: reality and measurement in algebraic quantum theory. Singapore: Springer. Springer Proc. Math. Stat. 261, 67-82 (2018). MSC: 81P40 81P05 PDF BibTeX XML Cite \textit{G. Hofer-Szabó}, Springer Proc. Math. Stat. 261, 67--82 (2018; Zbl 1414.81059) Full Text: DOI
Huang, Shaofen; Wang, Yang; Meng, Dan; Zhao, Chuanxin; Zhao, Chenxi; Xu, Shanshan; Fang, Qun The method of forwarding node selection based on Bayesian probability tree social network. (Chinese. English summary) Zbl 1424.91092 J. Anhui Norm. Univ., Nat. Sci. 41, No. 2, 135-141 (2018). MSC: 91D30 PDF BibTeX XML Cite \textit{S. Huang} et al., J. Anhui Norm. Univ., Nat. Sci. 41, No. 2, 135--141 (2018; Zbl 1424.91092) Full Text: DOI
Benjumeda, Marco; Bielza, Concha; Larrañaga, Pedro Tractability of most probable explanations in multidimensional Bayesian network classifiers. (English) Zbl 1452.68146 Int. J. Approx. Reasoning 93, 74-87 (2018). MSC: 68T05 62H22 62H30 PDF BibTeX XML Cite \textit{M. Benjumeda} et al., Int. J. Approx. Reasoning 93, 74--87 (2018; Zbl 1452.68146) Full Text: DOI
Kraisangka, Jidapa; Druzdzel, Marek J. A Bayesian network interpretation of the Cox’s proportional hazard model. (English) Zbl 1453.62665 Int. J. Approx. Reasoning 103, 195-211 (2018); corrigendum ibid. 111, 51-52 (2019). MSC: 62N02 60G55 62P25 PDF BibTeX XML Cite \textit{J. Kraisangka} and \textit{M. J. Druzdzel}, Int. J. Approx. Reasoning 103, 195--211 (2018; Zbl 1453.62665) Full Text: DOI
Tabar, Vahid Rezaei; Plewczynski, Dariusz; Fathipor, Hosna Generalized Baum-Welch and Viterbi algorithms based on the direct dependency among observations. (English) Zbl 1438.62005 J. Iran. Stat. Soc. JIRSS 17, No. 2, 205-225 (2018). MSC: 62C10 62F15 62M05 PDF BibTeX XML Cite \textit{V. R. Tabar} et al., J. Iran. Stat. Soc. JIRSS 17, No. 2, 205--225 (2018; Zbl 1438.62005) Full Text: DOI Link
Zhang, Xiangyin; Xue, Yuying; Lu, Xingyang; Jia, Songmin Differential-evolution-based coevolution ant colony optimization algorithm for Bayesian network structure learning. (English) Zbl 07003839 Algorithms (Basel) 11, No. 11, Paper No. 188, 16 p. (2018). MSC: 68 90 PDF BibTeX XML Cite \textit{X. Zhang} et al., Algorithms (Basel) 11, No. 11, Paper No. 188, 16 p. (2018; Zbl 07003839) Full Text: DOI
Dutta, Ritabrata; Mira, Antonietta; Onnela, Jukka-Pekka Bayesian inference of spreading processes on networks. (English) Zbl 1404.92179 Proc. R. Soc. Lond., A, Math. Phys. Eng. Sci. 474, No. 2215, Article ID 20180129, 18 p. (2018). MSC: 92D30 62F15 62P10 91D30 PDF BibTeX XML Cite \textit{R. Dutta} et al., Proc. R. Soc. Lond., A, Math. Phys. Eng. Sci. 474, No. 2215, Article ID 20180129, 18 p. (2018; Zbl 1404.92179) Full Text: DOI
Petitjean, François; Buntine, Wray; Webb, Geoffrey I.; Zaidi, Nayyar Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes. (English) Zbl 06990184 Mach. Learn. 107, No. 8-10, 1303-1331 (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{F. Petitjean} et al., Mach. Learn. 107, No. 8--10, 1303--1331 (2018; Zbl 06990184) Full Text: DOI
Ni, Yang; Ji, Yuan; Müller, Peter Reciprocal graphical models for integrative gene regulatory network analysis. (English) Zbl 1407.62408 Bayesian Anal. 13, No. 4, 1095-1110 (2018). MSC: 62P10 62F15 92C42 PDF BibTeX XML Cite \textit{Y. Ni} et al., Bayesian Anal. 13, No. 4, 1095--1110 (2018; Zbl 1407.62408) Full Text: DOI Euclid
Canale, Antonio (ed.); Durante, Daniele (ed.); Paci, Lucia (ed.); Scarpa, Bruno (ed.) Studies in neural data science. StartUp research 2017, Siena, Italy, June 25–27, 2017. (English) Zbl 1415.92006 Springer Proceedings in Mathematics & Statistics 257. Cham: Springer (ISBN 978-3-030-00038-7/hbk; 978-3-030-00039-4/ebook). xi, 156 p. (2018). Reviewer: Claudia Simionescu-Badea (Wien) MSC: 92-06 92C55 92B20 92B25 92C20 62P10 62-07 PDF BibTeX XML Cite \textit{A. Canale} (ed.) et al., Studies in neural data science. StartUp research 2017, Siena, Italy, June 25--27, 2017. Cham: Springer (2018; Zbl 1415.92006) Full Text: DOI
Liu, Xu-Qing; Liu, Xin-Sheng Markov blanket and Markov boundary of multiple variables. (English) Zbl 06982334 J. Mach. Learn. Res. 19, Paper No. 43, 50 p. (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{X.-Q. Liu} and \textit{X.-S. Liu}, J. Mach. Learn. Res. 19, Paper No. 43, 50 p. (2018; Zbl 06982334) Full Text: Link
Franks, Alexander M.; Markowetz, Florian; Airoldi, Edoardo M. Refining cellular pathway models using an ensemble of heterogeneous data sources. (English) Zbl 1405.62174 Ann. Appl. Stat. 12, No. 3, 1361-1384 (2018). MSC: 62P10 62F15 PDF BibTeX XML Cite \textit{A. M. Franks} et al., Ann. Appl. Stat. 12, No. 3, 1361--1384 (2018; Zbl 1405.62174) Full Text: DOI Euclid
Ko, Song; Lim, Hyunki; Ko, Hoon; Kim, Dae-Won Experimental comparisons with respect to the usage of the promising relations in EDA-based causal discovery. (English) Zbl 1400.90081 Ann. Oper. Res. 265, No. 2, 241-255 (2018). MSC: 90B15 PDF BibTeX XML Cite \textit{S. Ko} et al., Ann. Oper. Res. 265, No. 2, 241--255 (2018; Zbl 1400.90081) Full Text: DOI
Nandy, Preetam; Hauser, Alain; Maathuis, Marloes H. High-dimensional consistency in score-based and hybrid structure learning. (English) Zbl 1411.62144 Ann. Stat. 46, No. 6A, 3151-3183 (2018). Reviewer: Apostolos Batsidis (Ioannina) MSC: 62H12 68T05 PDF BibTeX XML Cite \textit{P. Nandy} et al., Ann. Stat. 46, No. 6A, 3151--3183 (2018; Zbl 1411.62144) Full Text: DOI Euclid arXiv
Evans, Robin J. Margins of discrete Bayesian networks. (English) Zbl 1408.62044 Ann. Stat. 46, No. 6A, 2623-2656 (2018). MSC: 62F15 62M02 68T35 PDF BibTeX XML Cite \textit{R. J. Evans}, Ann. Stat. 46, No. 6A, 2623--2656 (2018; Zbl 1408.62044) Full Text: DOI Euclid arXiv
Zhang, Lei; Wang, Yanzhang; Chen, Xuelong; Wang, Ning Scenario modeling method for unconventional emergency decision-making. (Chinese. English summary) Zbl 1413.93005 J. Syst. Eng. 33, No. 1, 1-12 (2018). MSC: 93A30 90B50 PDF BibTeX XML Cite \textit{L. Zhang} et al., J. Syst. Eng. 33, No. 1, 1--12 (2018; Zbl 1413.93005) Full Text: DOI
Ma, Liang; Dong, Jie; Peng, Kaixiang A practical propagation path identification scheme for quality-related faults based on nonlinear dynamic latent variable model and partitioned Bayesian network. (English) Zbl 1398.93073 J. Franklin Inst. 355, No. 15, 7570-7594 (2018). MSC: 93B30 93C10 68T05 93A30 93-04 PDF BibTeX XML Cite \textit{L. Ma} et al., J. Franklin Inst. 355, No. 15, 7570--7594 (2018; Zbl 1398.93073) Full Text: DOI
Kabir, Sohag; Papadopoulos, Yiannis A review of applications of fuzzy sets to safety and reliability engineering. (English) Zbl 1448.68420 Int. J. Approx. Reasoning 100, 29-55 (2018). MSC: 68T37 03E72 68M15 90B25 PDF BibTeX XML Cite \textit{S. Kabir} and \textit{Y. Papadopoulos}, Int. J. Approx. Reasoning 100, 29--55 (2018; Zbl 1448.68420) Full Text: DOI
Peng, Jinshuan; Shao, Yiming Intelligent method for identifying driving risk based on V2V multisource big data. (English) Zbl 1390.93823 Complexity 2018, Article ID 1801273, 9 p. (2018). MSC: 93E12 93E11 90B20 PDF BibTeX XML Cite \textit{J. Peng} and \textit{Y. Shao}, Complexity 2018, Article ID 1801273, 9 p. (2018; Zbl 1390.93823) Full Text: DOI