Pietrosanu, Matthew; Gao, Jueyu; Kong, Linglong; Jiang, Bei; Niu, Di Advanced algorithms for penalized quantile and composite quantile regression. (English) Zbl 07315558 Comput. Stat. 36, No. 1, 333-346 (2021). MSC: 65C60 PDF BibTeX XML Cite \textit{M. Pietrosanu} et al., Comput. Stat. 36, No. 1, 333--346 (2021; Zbl 07315558) Full Text: DOI
Achlyustin, S. B.; Melnikov, A. V.; Zhilin, R. A. Prediction of the integrated indicator of quality of a new object under the conditions of multicollinearity of reference data. (English) Zbl 07312382 Vestn. Yuzhno-Ural. Gos. Univ., Ser. Mat. Model. Program. 13, No. 4, 66-80 (2020). MSC: 68T05 62J07 68Q32 PDF BibTeX XML Cite \textit{S. B. Achlyustin} et al., Vestn. Yuzhno-Ural. Gos. Univ., Ser. Mat. Model. Program. 13, No. 4, 66--80 (2020; Zbl 07312382) Full Text: DOI MNR
Geoffrey, Chinot; Guillaume, Lecué; Matthieu, Lerasle Robust high dimensional learning for Lipschitz and convex losses. (English) Zbl 07307489 J. Mach. Learn. Res. 21, Paper No. 233, 47 p. (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{C. Geoffrey} et al., J. Mach. Learn. Res. 21, Paper No. 233, 47 p. (2020; Zbl 07307489) Full Text: Link
Ortelli, Francesco; van de Geer, Sara Adaptive rates for total variation image denoising. (English) Zbl 07306926 J. Mach. Learn. Res. 21, Paper No. 247, 38 p. (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{F. Ortelli} and \textit{S. van de Geer}, J. Mach. Learn. Res. 21, Paper No. 247, 38 p. (2020; Zbl 07306926) Full Text: Link
Rejchel, Wojciech; Bogdan, Małgorzata Rank-based Lasso – efficient methods for high-dimensional robust model selection. (English) Zbl 07306923 J. Mach. Learn. Res. 21, Paper No. 244, 47 p. (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{W. Rejchel} and \textit{M. Bogdan}, J. Mach. Learn. Res. 21, Paper No. 244, 47 p. (2020; Zbl 07306923) Full Text: Link
Massias, Mathurin; Vaiter, Samuel; Gramfort, Alexandre; Salmon, Joseph Dual extrapolation for sparse GLMs. (English) Zbl 07306914 J. Mach. Learn. Res. 21, Paper No. 234, 33 p. (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{M. Massias} et al., J. Mach. Learn. Res. 21, Paper No. 234, 33 p. (2020; Zbl 07306914) Full Text: Link
Ćevid, Domagoj; Bühlmann, Peter; Meinshausen, Nicolai Spectral deconfounding via perturbed sparse linear models. (English) Zbl 07306913 J. Mach. Learn. Res. 21, Paper No. 232, 41 p. (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{D. Ćevid} et al., J. Mach. Learn. Res. 21, Paper No. 232, 41 p. (2020; Zbl 07306913) Full Text: Link
Chi, Eric C.; Gaines, Brian J.; Sun, Will Wei; Zhou, Hua; Yang, Jian Provable convex co-clustering of tensors. (English) Zbl 07306902 J. Mach. Learn. Res. 21, Paper No. 214, 58 p. (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{E. C. Chi} et al., J. Mach. Learn. Res. 21, Paper No. 214, 58 p. (2020; Zbl 07306902) Full Text: Link
Nicholson, William B.; Wilms, Ines; Bien, Jacob; Matteson, David S. High dimensional forecasting via interpretable vector autoregression. (English) Zbl 07306867 J. Mach. Learn. Res. 21, Paper No. 166, 52 p. (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{W. B. Nicholson} et al., J. Mach. Learn. Res. 21, Paper No. 166, 52 p. (2020; Zbl 07306867) Full Text: Link
Alhamzawi, Rahim; Ali, Haithem Taha Mohammad Brq: an R package for Bayesian quantile regression. (English) Zbl 07301392 Metron 78, No. 3, 313-328 (2020). MSC: 62G08 62J07 62-08 PDF BibTeX XML Cite \textit{R. Alhamzawi} and \textit{H. T. M. Ali}, Metron 78, No. 3, 313--328 (2020; Zbl 07301392) Full Text: DOI
Banerjee, Trambak; Mukherjee, Gourab; Sun, Wenguang Adaptive sparse estimation with side information. (English) Zbl 1453.62576 J. Am. Stat. Assoc. 115, No. 532, 2053-2067 (2020). MSC: 62J07 62H12 PDF BibTeX XML Cite \textit{T. Banerjee} et al., J. Am. Stat. Assoc. 115, No. 532, 2053--2067 (2020; Zbl 1453.62576) Full Text: DOI
Wang, Lan; Peng, Bo; Bradic, Jelena; Li, Runze; Wu, Yunan Rejoinder to “A tuning-free robust and efficient approach to high-dimensional regression”. (English) Zbl 1452.62526 J. Am. Stat. Assoc. 115, No. 532, 1726-1729 (2020). MSC: 62J07 62F35 62J05 PDF BibTeX XML Cite \textit{L. Wang} et al., J. Am. Stat. Assoc. 115, No. 532, 1726--1729 (2020; Zbl 1452.62526) Full Text: DOI
Fan, Jianqing; Ma, Cong; Wang, Kaizheng Comment on “A tuning-free robust and efficient approach to high-dimensional regression”. (English) Zbl 1452.62519 J. Am. Stat. Assoc. 115, No. 532, 1720-1725 (2020). MSC: 62J07 62F35 62J05 PDF BibTeX XML Cite \textit{J. Fan} et al., J. Am. Stat. Assoc. 115, No. 532, 1720--1725 (2020; Zbl 1452.62519) Full Text: DOI
Li, Xiudi; Shojaie, Ali Discussion of “A tuning-free robust and efficient approach to high-dimensional regression”. (English) Zbl 1452.62520 J. Am. Stat. Assoc. 115, No. 532, 1717-1719 (2020). MSC: 62J07 62F35 62J05 PDF BibTeX XML Cite \textit{X. Li} and \textit{A. Shojaie}, J. Am. Stat. Assoc. 115, No. 532, 1717--1719 (2020; Zbl 1452.62520) Full Text: DOI
Loh, Po-Ling Comment on “A tuning-free robust and efficient approach to high-dimensional regression”. (English) Zbl 1452.62521 J. Am. Stat. Assoc. 115, No. 532, 1715-1716 (2020). MSC: 62J07 62F35 62J05 PDF BibTeX XML Cite \textit{P.-L. Loh}, J. Am. Stat. Assoc. 115, No. 532, 1715--1716 (2020; Zbl 1452.62521) Full Text: DOI
Wang, Lan; Peng, Bo; Bradic, Jelena; Li, Runze; Wu, Yunan A tuning-free robust and efficient approach to high-dimensional regression. (English) Zbl 1452.62525 J. Am. Stat. Assoc. 115, No. 532, 1700-1714 (2020). MSC: 62J07 62F35 62J05 PDF BibTeX XML Cite \textit{L. Wang} et al., J. Am. Stat. Assoc. 115, No. 532, 1700--1714 (2020; Zbl 1452.62525) Full Text: DOI
Thompson, Emmanuel; Talafha, Ahmad Mahmoud Regularization-based bootstrap ranking model: identifying healthcare indicators among all level income economies. (English. French summary) Zbl 07298609 Afr. Stat. 15, No. 3, 2431-2449 (2020). MSC: 62P10 62P20 62G08 62J07 PDF BibTeX XML Cite \textit{E. Thompson} and \textit{A. M. Talafha}, Afr. Stat. 15, No. 3, 2431--2449 (2020; Zbl 07298609) Full Text: DOI Euclid
Beyhum, Jad Inference robust to outliers with \(\ell_1\)-norm penalization. (English) Zbl 07285909 ESAIM, Probab. Stat. 24, 688-702 (2020). MSC: 62F35 62J05 62J07 60F10 PDF BibTeX XML Cite \textit{J. Beyhum}, ESAIM, Probab. Stat. 24, 688--702 (2020; Zbl 07285909) Full Text: DOI
Choosawat, Chutikarn; Reangsephet, Orawan; Srisuradetchai, Patchanok; Lisawadi, Supranee Performance comparison of penalized regression methods in Poisson regression under high-dimensional sparse data with multicollinearity. (English) Zbl 07280225 Thail. Stat. 18, No. 3, 306-318 (2020). MSC: 62J07 65C05 PDF BibTeX XML Cite \textit{C. Choosawat} et al., Thail. Stat. 18, No. 3, 306--318 (2020; Zbl 07280225) Full Text: Link
Bastani, Hamsa; Bayati, Mohsen Online decision making with high-dimensional covariates. (English) Zbl 1445.90042 Oper. Res. 68, No. 1, 276-294 (2020). MSC: 90B50 92C50 62M20 PDF BibTeX XML Cite \textit{H. Bastani} and \textit{M. Bayati}, Oper. Res. 68, No. 1, 276--294 (2020; Zbl 1445.90042) Full Text: DOI
Ju, Cheng; Benkeser, David; van der Laan, Mark J. Robust inference on the average treatment effect using the outcome highly adaptive Lasso. (English) Zbl 1451.62049 Biometrics 76, No. 1, 109-118 (2020). MSC: 62G35 62G15 62J07 PDF BibTeX XML Cite \textit{C. Ju} et al., Biometrics 76, No. 1, 109--118 (2020; Zbl 1451.62049) Full Text: DOI
Wu, Chong; Xu, Gongjun; Shen, Xiaotong; Pan, Wei A regularization-based adaptive test for high-dimensional GLMs. (English) Zbl 07255159 J. Mach. Learn. Res. 21, Paper No. 128, 67 p. (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{C. Wu} et al., J. Mach. Learn. Res. 21, Paper No. 128, 67 p. (2020; Zbl 07255159) Full Text: Link
Pircalabelu, Eugen; Claeskens, Gerda Community-based group graphical Lasso. (English) Zbl 07255095 J. Mach. Learn. Res. 21, Paper No. 64, 32 p. (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{E. Pircalabelu} and \textit{G. Claeskens}, J. Mach. Learn. Res. 21, Paper No. 64, 32 p. (2020; Zbl 07255095) Full Text: Link
Cattivelli, Luca; Gallo, Giampiero M. Adaptive Lasso for vector multiplicative error models. (English) Zbl 1448.62113 Quant. Finance 20, No. 2, 255-274 (2020). MSC: 62J07 62H12 62M20 62P20 PDF BibTeX XML Cite \textit{L. Cattivelli} and \textit{G. M. Gallo}, Quant. Finance 20, No. 2, 255--274 (2020; Zbl 1448.62113) Full Text: DOI
Lecué, Guillaume; Lerasle, Matthieu Robust machine learning by median-of-means: theory and practice. (English) Zbl 07241574 Ann. Stat. 48, No. 2, 906-931 (2020). MSC: 68T05 62G08 62C20 62J07 PDF BibTeX XML Cite \textit{G. Lecué} and \textit{M. Lerasle}, Ann. Stat. 48, No. 2, 906--931 (2020; Zbl 07241574) Full Text: DOI Euclid
Tan, Zhiqiang Model-assisted inference for treatment effects using regularized calibrated estimation with high-dimensional data. (English) Zbl 07241570 Ann. Stat. 48, No. 2, 811-837 (2020). MSC: 62E20 62F25 62F35 62J05 62J12 PDF BibTeX XML Cite \textit{Z. Tan}, Ann. Stat. 48, No. 2, 811--837 (2020; Zbl 07241570) Full Text: DOI Euclid
Zhao, Hui; Wu, Qiwei; Li, Gang; Sun, Jianguo Simultaneous estimation and variable selection for interval-censored data with broken adaptive ridge regression. (English) Zbl 1437.62283 J. Am. Stat. Assoc. 115, No. 529, 204-216 (2020). MSC: 62J07 62N02 PDF BibTeX XML Cite \textit{H. Zhao} et al., J. Am. Stat. Assoc. 115, No. 529, 204--216 (2020; Zbl 1437.62283) Full Text: DOI
Rosset, Saharon; Tibshirani, Ryan J. “From fixed-X to random-X regression: bias-variance decompositions, covariance penalties, and prediction error estimation”: rejoinder. (English) Zbl 1437.62352 J. Am. Stat. Assoc. 115, No. 529, 161-162 (2020). MSC: 62M20 62J07 62J10 68T05 PDF BibTeX XML Cite \textit{S. Rosset} and \textit{R. J. Tibshirani}, J. Am. Stat. Assoc. 115, No. 529, 161--162 (2020; Zbl 1437.62352) Full Text: DOI
Wager, Stefan Cross-validation, risk estimation, and model selection: comment on a paper by Rosset and Tibshirani. (English) Zbl 1437.62355 J. Am. Stat. Assoc. 115, No. 529, 157-160 (2020). MSC: 62M20 62J07 62J10 68T05 PDF BibTeX XML Cite \textit{S. Wager}, J. Am. Stat. Assoc. 115, No. 529, 157--160 (2020; Zbl 1437.62355) Full Text: DOI
Shen, Xiaotong; Huang, Hsin-Cheng Discussion of “From fixed-X to random-X regression: bias-variance decompositions, covariance penalties, and prediction error estimation”. (English) Zbl 1437.62353 J. Am. Stat. Assoc. 115, No. 529, 152-156 (2020). MSC: 62M20 62J07 62J10 68T05 PDF BibTeX XML Cite \textit{X. Shen} and \textit{H.-C. Huang}, J. Am. Stat. Assoc. 115, No. 529, 152--156 (2020; Zbl 1437.62353) Full Text: DOI
Rosset, Saharon; Tibshirani, Ryan J. From fixed-X to random-X regression: bias-variance decompositions, covariance penalties, and prediction error estimation. (English) Zbl 1437.62351 J. Am. Stat. Assoc. 115, No. 529, 138-151 (2020). MSC: 62M20 62J07 62J10 68T05 PDF BibTeX XML Cite \textit{S. Rosset} and \textit{R. J. Tibshirani}, J. Am. Stat. Assoc. 115, No. 529, 138--151 (2020; Zbl 1437.62351) Full Text: DOI
Chu, Jianghao; Lee, Tae-Hwy; Ullah, Aman Component-wise AdaBoost algorithms for high-dimensional binary classification and class probability prediction. (English) Zbl 1443.62313 Vinod, Hrishikesh D. (ed.) et al., Financial, macro and micro econometrics using R. Amsterdam: Elsevier/North Holland. Handb. Stat. 42, 81-114 (2020). MSC: 62M45 62H30 62-08 68T05 62J07 62J12 PDF BibTeX XML Cite \textit{J. Chu} et al., Handb. Stat. 42, 81--114 (2020; Zbl 1443.62313) Full Text: DOI
Ciuperca, Gabriela; Maciak, Matúš; Wahl, François Detection of similar successive groups in a model with diverging number of variable groups. (English) Zbl 1442.62119 Sequential Anal. 39, No. 1, 92-114 (2020). Reviewer: Pavel Stoynov (Sofia) MSC: 62H12 62L12 62F12 62F35 62J07 62J05 62P12 PDF BibTeX XML Cite \textit{G. Ciuperca} et al., Sequential Anal. 39, No. 1, 92--114 (2020; Zbl 1442.62119) Full Text: DOI
Qin, Shanshan; Wu, Yuehua General matching quantiles M-estimation. (English) Zbl 07202076 Comput. Stat. Data Anal. 147, Article ID 106941, 14 p. (2020). MSC: 62 PDF BibTeX XML Cite \textit{S. Qin} and \textit{Y. Wu}, Comput. Stat. Data Anal. 147, Article ID 106941, 14 p. (2020; Zbl 07202076) Full Text: DOI
Wang, Xiuli; Cao, Zhimiao; Liu, Chao; Wang, Mingqiu Group selection via adjusted weighted least absolute deviation regression. (English) Zbl 1439.62167 J. Comput. Appl. Math. 378, Article ID 112924, 18 p. (2020). MSC: 62J05 62F12 62J07 62F07 PDF BibTeX XML Cite \textit{X. Wang} et al., J. Comput. Appl. Math. 378, Article ID 112924, 18 p. (2020; Zbl 1439.62167) Full Text: DOI
Guntuboyina, Adityanand; Lieu, Donovan; Chatterjee, Sabyasachi; Sen, Bodhisattva Adaptive risk bounds in univariate total variation denoising and trend filtering. (English) Zbl 1439.62100 Ann. Stat. 48, No. 1, 205-229 (2020). Reviewer: Oleksandr Kukush (Kyïv) MSC: 62G08 62J05 62J07 65D07 62G07 62M20 PDF BibTeX XML Cite \textit{A. Guntuboyina} et al., Ann. Stat. 48, No. 1, 205--229 (2020; Zbl 1439.62100) Full Text: DOI Euclid
Li, Qiang; Wang, Liming Robust change point detection method via adaptive LAD-Lasso. (English) Zbl 1437.62177 Stat. Pap. 61, No. 1, 109-121 (2020). MSC: 62G35 62G10 62J07 62P10 92D20 PDF BibTeX XML Cite \textit{Q. Li} and \textit{L. Wang}, Stat. Pap. 61, No. 1, 109--121 (2020; Zbl 1437.62177) Full Text: DOI
Li, Ning Efficient sparse portfolios based on composite quantile regression for high-dimensional index tracking. (English) Zbl 07194349 J. Stat. Comput. Simulation 90, No. 8, 1466-1478 (2020). MSC: 62F30 62F35 62J05 62J07 PDF BibTeX XML Cite \textit{N. Li}, J. Stat. Comput. Simulation 90, No. 8, 1466--1478 (2020; Zbl 07194349) Full Text: DOI
Grasmair, Markus; Klock, Timo; Naumova, Valeriya Adaptive multi-penalty regularization based on a generalized Lasso path. (English) Zbl 1434.68408 Appl. Comput. Harmon. Anal. 49, No. 1, 30-55 (2020). MSC: 68T05 62J07 94A12 PDF BibTeX XML Cite \textit{M. Grasmair} et al., Appl. Comput. Harmon. Anal. 49, No. 1, 30--55 (2020; Zbl 1434.68408) Full Text: DOI
Chambolle, A.; Holler, M.; Pock, T. A convex variational model for learning convolutional image atoms from incomplete data. (English) Zbl 1434.68625 J. Math. Imaging Vis. 62, No. 3, 417-444 (2020). MSC: 68U10 49K30 49M29 65F22 68T05 94A08 PDF BibTeX XML Cite \textit{A. Chambolle} et al., J. Math. Imaging Vis. 62, No. 3, 417--444 (2020; Zbl 1434.68625) Full Text: DOI
Li, Bo-wen; Zhang, Yun-qi; Tang, Nian-sheng Robust variable selection and estimation in threshold regression model. (English) Zbl 1437.62279 Acta Math. Appl. Sin., Engl. Ser. 36, No. 2, 332-346 (2020). Reviewer: Pavel Stoynov (Sofia) MSC: 62J07 62F07 62F35 62P20 PDF BibTeX XML Cite \textit{B.-w. Li} et al., Acta Math. Appl. Sin., Engl. Ser. 36, No. 2, 332--346 (2020; Zbl 1437.62279) Full Text: DOI
Lin, Junhong; Rudi, Alessandro; Rosasco, Lorenzo; Cevher, Volkan Optimal rates for spectral algorithms with least-squares regression over Hilbert spaces. (English) Zbl 1436.62146 Appl. Comput. Harmon. Anal. 48, No. 3, 868-890 (2020). MSC: 62G08 46E22 62H25 62J07 62M15 68T05 PDF BibTeX XML Cite \textit{J. Lin} et al., Appl. Comput. Harmon. Anal. 48, No. 3, 868--890 (2020; Zbl 1436.62146) Full Text: DOI
Chowdhury, Shrabanti; Lukemire, Joshua; Mandal, Abhyuday A-ComVar: a flexible extension of common variance designs. (English) Zbl 1437.62309 J. Stat. Theory Pract. 14, No. 1, Paper No. 16, 49 p. (2020). MSC: 62K15 62J07 PDF BibTeX XML Cite \textit{S. Chowdhury} et al., J. Stat. Theory Pract. 14, No. 1, Paper No. 16, 49 p. (2020; Zbl 1437.62309) Full Text: DOI
Huang, Longlong; Kopciuk, Karen; Lu, Xuewen Adaptive group bridge selection in the semiparametric accelerated failure time model. (English) Zbl 1437.62277 J. Multivariate Anal. 175, Article ID 104562, 19 p. (2020). Reviewer: Oleksandr Kukush (Kyïv) MSC: 62J07 62G20 62N01 62H12 PDF BibTeX XML Cite \textit{L. Huang} et al., J. Multivariate Anal. 175, Article ID 104562, 19 p. (2020; Zbl 1437.62277) Full Text: DOI
Zou, Yuye; Fan, Guoliang; Zhang, Riquan Quantile regression and variable selection for partially linear single-index models with missing censoring indicators. (English) Zbl 1418.62204 J. Stat. Plann. Inference 204, 80-95 (2020). MSC: 62G08 62J07 62G20 62P10 PDF BibTeX XML Cite \textit{Y. Zou} et al., J. Stat. Plann. Inference 204, 80--95 (2020; Zbl 1418.62204) Full Text: DOI
Gautam, Chandan; Tiwari, Aruna; Tanveer, M. KOC+: kernel ridge regression based one-class classification using privileged information. (English) Zbl 07306729 Inf. Sci. 504, 324-333 (2019). MSC: 62J07 62H30 62G08 68T05 PDF BibTeX XML Cite \textit{C. Gautam} et al., Inf. Sci. 504, 324--333 (2019; Zbl 07306729) Full Text: DOI
Jin, Taisong; Yu, Zhengtao; Gao, Yue; Gao, Shengxiang; Sun, Xiaoshuai; Li, Cuihua Robust \(\ell_2\)-hypergraph and its applications. (English) Zbl 1453.68151 Inf. Sci. 501, 708-723 (2019). MSC: 68T05 05C65 62J07 PDF BibTeX XML Cite \textit{T. Jin} et al., Inf. Sci. 501, 708--723 (2019; Zbl 1453.68151) Full Text: DOI
Pan, Xianli; Xu, Yitian A safe reinforced feature screening strategy for Lasso based on feasible solutions. (English) Zbl 1442.68199 Inf. Sci. 477, 132-147 (2019). MSC: 68T05 62J07 PDF BibTeX XML Cite \textit{X. Pan} and \textit{Y. Xu}, Inf. Sci. 477, 132--147 (2019; Zbl 1442.68199) Full Text: DOI
Xia, Yafeng; Qu, Yarong Modal regression and variable selection of partially linear additive model. (Chinese. English summary) Zbl 1449.62163 J. Lanzhou Univ. Technol. 45, No. 6, 157-161 (2019). MSC: 62J07 62G05 62G08 65D07 PDF BibTeX XML Cite \textit{Y. Xia} and \textit{Y. Qu}, J. Lanzhou Univ. Technol. 45, No. 6, 157--161 (2019; Zbl 1449.62163)
Zhao, Huan; Gao, Zhenghong; Xu, Fang; Zhang, Yidian; Huang, Jiangtao An efficient adaptive forward-backward selection method for sparse polynomial chaos expansion. (English) Zbl 1441.65011 Comput. Methods Appl. Mech. Eng. 355, 456-491 (2019). MSC: 65C20 62J07 62P30 PDF BibTeX XML Cite \textit{H. Zhao} et al., Comput. Methods Appl. Mech. Eng. 355, 456--491 (2019; Zbl 1441.65011) Full Text: DOI
Yuan, Beibei; Heiser, Willem; De Rooij, Mark The \(\delta \)-machine: classification based on distances towards prototypes. (English) Zbl 1436.62296 J. Classif. 36, No. 3, 442-470 (2019). MSC: 62H30 62J07 62R20 68T05 PDF BibTeX XML Cite \textit{B. Yuan} et al., J. Classif. 36, No. 3, 442--470 (2019; Zbl 1436.62296) Full Text: DOI
Matsui, Kota; Kumagai, Wataru; Kanamori, Kenta; Nishikimi, Mitsuaki; Kanamori, Takafumi Variable selection for nonparametric learning with power series kernels. (English) Zbl 1435.62136 Neural Comput. 31, No. 8, 1718-1750 (2019). MSC: 62G07 68T05 62J07 PDF BibTeX XML Cite \textit{K. Matsui} et al., Neural Comput. 31, No. 8, 1718--1750 (2019; Zbl 1435.62136) Full Text: DOI
Luo, Ziyan; Sun, Defeng; Toh, Kim-Chuan; Xiu, Naihua Solving the OSCAR and SLOPE models using a semismooth Newton-based augmented Lagrangian method. (English) Zbl 1434.68430 J. Mach. Learn. Res. 20, Paper No. 106, 25 p. (2019). MSC: 68T05 62J05 62J07 PDF BibTeX XML Cite \textit{Z. Luo} et al., J. Mach. Learn. Res. 20, Paper No. 106, 25 p. (2019; Zbl 1434.68430) Full Text: Link
Bing, Xin; Wegkamp, Marten H. Adaptive estimation of the rank of the coefficient matrix in high-dimensional multivariate response regression models. (English) Zbl 07151057 Ann. Stat. 47, No. 6, 3157-3184 (2019). MSC: 62H15 62J07 60F15 PDF BibTeX XML Cite \textit{X. Bing} and \textit{M. H. Wegkamp}, Ann. Stat. 47, No. 6, 3157--3184 (2019; Zbl 07151057) Full Text: DOI Euclid
Gurevich, Daniel R.; Reinbold, Patrick A. K.; Grigoriev, Roman O. Robust and optimal sparse regression for nonlinear PDE models. (English) Zbl 1433.35387 Chaos 29, No. 10, 103113, 9 p. (2019). MSC: 35Q62 62F35 62J07 65F20 15A18 PDF BibTeX XML Cite \textit{D. R. Gurevich} et al., Chaos 29, No. 10, 103113, 9 p. (2019; Zbl 1433.35387) Full Text: DOI
Norouzirad, M.; Arashi, M. Preliminary test and Stein-type shrinkage ridge estimators in robust regression. (English) Zbl 1432.62223 Stat. Pap. 60, No. 6, 1849-1882 (2019). MSC: 62J07 62F35 PDF BibTeX XML Cite \textit{M. Norouzirad} and \textit{M. Arashi}, Stat. Pap. 60, No. 6, 1849--1882 (2019; Zbl 1432.62223) Full Text: DOI
Yoshida, Takuma Two stage smoothing in additive models with missing covariates. (English) Zbl 1432.62226 Stat. Pap. 60, No. 6, 1803-1826 (2019). MSC: 62J07 62D10 65D07 PDF BibTeX XML Cite \textit{T. Yoshida}, Stat. Pap. 60, No. 6, 1803--1826 (2019; Zbl 1432.62226) Full Text: DOI
Kumagai, Wataru; Kanamori, Takafumi Risk bound of transfer learning using parametric feature mapping and its application to sparse coding. (English) Zbl 1440.68221 Mach. Learn. 108, No. 11, 1975-2008 (2019). MSC: 68T05 62F10 62J07 PDF BibTeX XML Cite \textit{W. Kumagai} and \textit{T. Kanamori}, Mach. Learn. 108, No. 11, 1975--2008 (2019; Zbl 1440.68221) Full Text: DOI
Guastavino, Sabrina; Benvenuto, Federico A consistent and numerically efficient variable selection method for sparse Poisson regression with applications to learning and signal recovery. (English) Zbl 1430.62078 Stat. Comput. 29, No. 3, 501-516 (2019). MSC: 62G08 62G20 62J07 62J12 PDF BibTeX XML Cite \textit{S. Guastavino} and \textit{F. Benvenuto}, Stat. Comput. 29, No. 3, 501--516 (2019; Zbl 1430.62078) Full Text: DOI
Blanchet, Jose; Kang, Yang; Murthy, Karthyek Robust Wasserstein profile inference and applications to machine learning. (English) Zbl 1436.62336 J. Appl. Probab. 56, No. 3, 830-857 (2019). MSC: 62J07 62J12 68T05 PDF BibTeX XML Cite \textit{J. Blanchet} et al., J. Appl. Probab. 56, No. 3, 830--857 (2019; Zbl 1436.62336) Full Text: DOI
Kalogridis, Ioannis; Van Aelst, Stefan Robust functional regression based on principal components. (English) Zbl 1422.62101 J. Multivariate Anal. 173, 393-415 (2019). MSC: 62F12 62F35 62J07 PDF BibTeX XML Cite \textit{I. Kalogridis} and \textit{S. Van Aelst}, J. Multivariate Anal. 173, 393--415 (2019; Zbl 1422.62101) Full Text: DOI
He, Kevin; Wang, Yue; Zhou, Xiang; Xu, Han; Huang, Can An improved variable selection procedure for adaptive Lasso in high-dimensional survival analysis. (English) Zbl 1429.62535 Lifetime Data Anal. 25, No. 3, 569-585 (2019). MSC: 62P10 92D10 62J07 62N02 PDF BibTeX XML Cite \textit{K. He} et al., Lifetime Data Anal. 25, No. 3, 569--585 (2019; Zbl 1429.62535) Full Text: DOI
Zhang, Chunxia; Li, Junli Variable selection ensemble methods. (Chinese. English summary) Zbl 1438.62132 Chin. J. Eng. Math. 36, No. 1, 1-17 (2019). MSC: 62J05 62J07 62F07 68T05 62R07 PDF BibTeX XML Cite \textit{C. Zhang} and \textit{J. Li}, Chin. J. Eng. Math. 36, No. 1, 1--17 (2019; Zbl 1438.62132) Full Text: DOI
Katayama, Shota Computational and statistical analyses for robust non-convex sparse regularized regression problem. (English) Zbl 1432.62208 J. Stat. Plann. Inference 201, 20-31 (2019). MSC: 62J05 62F35 62J07 62-08 PDF BibTeX XML Cite \textit{S. Katayama}, J. Stat. Plann. Inference 201, 20--31 (2019; Zbl 1432.62208) Full Text: DOI
Gibali, Aviv; Mai, Dang Thi; Vinh, Nguyen The A new relaxed CQ algorithm for solving split feasibility problems in Hilbert spaces and its applications. (English) Zbl 1438.65124 J. Ind. Manag. Optim. 15, No. 2, 963-984 (2019). MSC: 65K05 65K10 49J52 PDF BibTeX XML Cite \textit{A. Gibali} et al., J. Ind. Manag. Optim. 15, No. 2, 963--984 (2019; Zbl 1438.65124) Full Text: DOI
Das, Debraj; Gregory, Karl; Lahiri, S. N. Perturbation bootstrap in adaptive Lasso. (English) Zbl 1420.62305 Ann. Stat. 47, No. 4, 2080-2116 (2019). MSC: 62J07 62G09 62E20 PDF BibTeX XML Cite \textit{D. Das} et al., Ann. Stat. 47, No. 4, 2080--2116 (2019; Zbl 1420.62305) Full Text: DOI Euclid arXiv
Zhang, Baoxue; Cheng, Guanghui; Zhang, Chunming; Zheng, Shurong Variable selection procedures from multiple testing. (English) Zbl 07069498 Sci. China, Math. 62, No. 4, 771-782 (2019). MSC: 47N30 62F03 PDF BibTeX XML Cite \textit{B. Zhang} et al., Sci. China, Math. 62, No. 4, 771--782 (2019; Zbl 07069498) Full Text: DOI
Obuchi, Tomoyuki; Kabashima, Yoshiyuki Semi-analytic resampling in Lasso. (English) Zbl 07064050 J. Mach. Learn. Res. 20, Paper No. 70, 33 p. (2019). MSC: 68T05 PDF BibTeX XML Cite \textit{T. Obuchi} and \textit{Y. Kabashima}, J. Mach. Learn. Res. 20, Paper No. 70, 33 p. (2019; Zbl 07064050) Full Text: Link
Al-Sulami, Dawlah; Jiang, Zhenyu; Lu, Zudi; Zhu, Jun On a semiparametric data-driven nonlinear model with penalized spatio-temporal lag interactions. (English) Zbl 1418.62298 J. Time Ser. Anal. 40, No. 3, 327-342 (2019). MSC: 62M10 62M30 62J07 62P20 PDF BibTeX XML Cite \textit{D. Al-Sulami} et al., J. Time Ser. Anal. 40, No. 3, 327--342 (2019; Zbl 1418.62298) Full Text: DOI
Chamroukhi, Faicel; Huynh, Bao-Tuyen Regularized estimation and feature selection in mixtures of experts. (Estimation par maximum de vraisemblance régularisé et sélection de variables dans les modèles de mélanges d’experts.) (English. French summary) Zbl 1417.62170 J. SFdS 160, No. 1, 57-85 (2019). MSC: 62H30 62G05 62H12 62J07 68T05 PDF BibTeX XML Cite \textit{F. Chamroukhi} and \textit{B.-T. Huynh}, J. SFdS 160, No. 1, 57--85 (2019; Zbl 1417.62170) Full Text: Link
Liao, Lina; Park, Cheolwoo; Choi, Hosik Penalized expectile regression: an alternative to penalized quantile regression. (English) Zbl 1417.62082 Ann. Inst. Stat. Math. 71, No. 2, 409-438 (2019). MSC: 62G08 62J07 PDF BibTeX XML Cite \textit{L. Liao} et al., Ann. Inst. Stat. Math. 71, No. 2, 409--438 (2019; Zbl 1417.62082) Full Text: DOI
Ciuperca, Gabriela Adaptive group Lasso selection in quantile models. (English) Zbl 1411.62185 Stat. Pap. 60, No. 1, 173-197 (2019). MSC: 62J05 62J07 62G08 PDF BibTeX XML Cite \textit{G. Ciuperca}, Stat. Pap. 60, No. 1, 173--197 (2019; Zbl 1411.62185) Full Text: DOI arXiv
Fattahi, Salar; Sojoudi, Somayeh Graphical Lasso and thresholding: equivalence and closed-form solutions. (English) Zbl 07049729 J. Mach. Learn. Res. 20, Paper No. 10, 44 p. (2019). MSC: 68T05 PDF BibTeX XML Cite \textit{S. Fattahi} and \textit{S. Sojoudi}, J. Mach. Learn. Res. 20, Paper No. 10, 44 p. (2019; Zbl 07049729) Full Text: Link
Kang, Chuanze; Huo, Yanhao; Xin, Lihui; Tian, Baoguang; Yu, Bin Feature selection and tumor classification for microarray data using relaxed Lasso and generalized multi-class support vector machine. (English) Zbl 1406.92192 J. Theor. Biol. 463, 77-91 (2019). MSC: 92C40 68T05 62H30 62J05 62J07 PDF BibTeX XML Cite \textit{C. Kang} et al., J. Theor. Biol. 463, 77--91 (2019; Zbl 1406.92192) Full Text: DOI
Calleja-Rodriguez, Ainhoa; Li, Zitong; Hallingbäck, Henrik R.; Sillanpää, Mikko J.; Wu, Harry X.; Abrahamsson, Sara; García-Gil, Maria Rosario Analysis of phenotypic- and estimated breeding values (EBV) to dissect the genetic architecture of complex traits in a Scots pine three-generation pedigree design. (English) Zbl 1406.92374 J. Theor. Biol. 462, 283-292 (2019). MSC: 92C80 92D10 PDF BibTeX XML Cite \textit{A. Calleja-Rodriguez} et al., J. Theor. Biol. 462, 283--292 (2019; Zbl 1406.92374) Full Text: DOI
Li, Feng; Lu, Yiqiang Lasso-type estimation for covariate-adjusted linear model. (English) Zbl 07282643 J. Appl. Stat. 45, No. 1, 26-42 (2018). MSC: 62 PDF BibTeX XML Cite \textit{F. Li} and \textit{Y. Lu}, J. Appl. Stat. 45, No. 1, 26--42 (2018; Zbl 07282643) Full Text: DOI
Chen, Yuhui; Zhang, Jiajia; Xu, Yangyang Adaptive Lasso for accelerated hazards models. (English) Zbl 07192697 J. Stat. Comput. Simulation 88, No. 15, 2948-2960 (2018). MSC: 62 PDF BibTeX XML Cite \textit{Y. Chen} et al., J. Stat. Comput. Simulation 88, No. 15, 2948--2960 (2018; Zbl 07192697) Full Text: DOI
Majid, Abdul; Aslam, Muhammad; Altaf, Saima Efficient estimation of distributed lag model in presence of heteroscedasticity of unknown form: a Monte Carlo evidence. (English) Zbl 1426.62203 Cogent Math. Stat. 5, Article ID 1538596, 12 p. (2018). MSC: 62J05 62J07 62P20 65C05 PDF BibTeX XML Cite \textit{A. Majid} et al., Cogent Math. Stat. 5, Article ID 1538596, 12 p. (2018; Zbl 1426.62203) Full Text: DOI
Liu, Enjiang; Song, Yunsheng; Liang, Jiye An accelerator for kernel ridge regression algorithms based on data partition. (Chinese. English summary) Zbl 1424.68121 J. Univ. Sci. Technol. China 48, No. 4, 284-289 (2018). MSC: 68T05 62H25 62J07 PDF BibTeX XML Cite \textit{E. Liu} et al., J. Univ. Sci. Technol. China 48, No. 4, 284--289 (2018; Zbl 1424.68121) Full Text: DOI
Ling, Ling; Leng, Wei; Zhang, Chongqi Adaptive Lasso variable selection for high-dimensional mixture model. (Chinese. English summary) Zbl 1424.62122 J. Guangzhou Univ., Nat. Sci. 17, No. 4, 9-13 (2018). MSC: 62J07 62H30 PDF BibTeX XML Cite \textit{L. Ling} et al., J. Guangzhou Univ., Nat. Sci. 17, No. 4, 9--13 (2018; Zbl 1424.62122)
Maciak, Matúš Linear trend filtering via adaptive Lasso. (English) Zbl 1414.62320 Rojas, Ignacio (ed.) et al., Time series analysis and forecasting. Selected contributions from the international work-conference on time series, ITISE 2017, Granada, Spain, September 18–20, 107. Cham: Springer. Contrib. Stat., 131-145 (2018). MSC: 62J07 62J05 62M20 PDF BibTeX XML Cite \textit{M. Maciak}, in: Time series analysis and forecasting. Selected contributions from the international work-conference on time series, ITISE 2017, Granada, Spain, September 18--20, 2017. Cham: Springer. 131--145 (2018; Zbl 1414.62320) Full Text: DOI
Ciuperca, G. Nonparametric and parametric methods for change-point detection in parametric models. (English) Zbl 1414.62316 Bertail, Patrice (ed.) et al., Nonparametric statistics. 3rd ISNPS, Avignon, France, June 2016. Seleced papers of the 3rd conference of the International Society for Nonparametric Statistics (ISNPS), Avignon, France, June 11–16, 2016. Cham: Springer. Springer Proc. Math. Stat. 250, 337-356 (2018). MSC: 62J07 62G10 PDF BibTeX XML Cite \textit{G. Ciuperca}, Springer Proc. Math. Stat. 250, 337--356 (2018; Zbl 1414.62316) Full Text: DOI
Wu, Mingzhe; Zheng, Ming; Yu, Wen; Wu, Ruofan Estimation and variable selection for semiparametric transformation models under a more efficient cohort sampling design. (English) Zbl 1417.62334 Test 27, No. 3, 570-596 (2018). MSC: 62P10 62N02 62J07 PDF BibTeX XML Cite \textit{M. Wu} et al., Test 27, No. 3, 570--596 (2018; Zbl 1417.62334) Full Text: DOI
Jewell, Sean; Witten, Daniela Exact spike train inference via \(\ell_{0}\) optimization. (English) Zbl 1412.62159 Ann. Appl. Stat. 12, No. 4, 2457-2482 (2018). MSC: 62P10 62J07 62H12 68T05 PDF BibTeX XML Cite \textit{S. Jewell} and \textit{D. Witten}, Ann. Appl. Stat. 12, No. 4, 2457--2482 (2018; Zbl 1412.62159) Full Text: DOI Euclid
Petersen, Ashley; Simon, Noah; Witten, Daniela Scalpel: extracting neurons from calcium imaging data. (English) Zbl 1412.62171 Ann. Appl. Stat. 12, No. 4, 2430-2456 (2018). MSC: 62P10 62J07 68T05 62H12 PDF BibTeX XML Cite \textit{A. Petersen} et al., Ann. Appl. Stat. 12, No. 4, 2430--2456 (2018; Zbl 1412.62171) Full Text: DOI Euclid
Li, Zheng; Song, Guohui; Xu, Yuesheng A fixed-point proximity approach to solving the support vector regression with the group Lasso regularization. (English) Zbl 1407.65066 Int. J. Numer. Anal. Model. 15, No. 1-2, 154-169 (2018). MSC: 65K05 68T05 90C20 PDF BibTeX XML Cite \textit{Z. Li} et al., Int. J. Numer. Anal. Model. 15, No. 1--2, 154--169 (2018; Zbl 1407.65066) Full Text: Link
Miasojedow, Błażej; Rejchel, Wojciech Sparse estimation in Ising model via penalized Monte Carlo methods. (English) Zbl 07008331 J. Mach. Learn. Res. 19, Paper No. 75, 26 p. (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{B. Miasojedow} and \textit{W. Rejchel}, J. Mach. Learn. Res. 19, Paper No. 75, 26 p. (2018; Zbl 07008331) Full Text: Link
Alhamzawi, Rahim; Ali, Haithem Taha Mohammad The Bayesian adaptive Lasso regression. (English) Zbl 1409.62141 Math. Biosci. 303, 75-82 (2018). MSC: 62J07 62J05 62H12 62F15 PDF BibTeX XML Cite \textit{R. Alhamzawi} and \textit{H. T. M. Ali}, Math. Biosci. 303, 75--82 (2018; Zbl 1409.62141) Full Text: DOI
Baek, Changryong; Davis, Richard A.; Pipiras, Vladas Periodic dynamic factor models: estimation approaches and applications. (English) Zbl 1409.62167 Electron. J. Stat. 12, No. 2, 4377-4411 (2018). MSC: 62M10 62H25 62J07 PDF BibTeX XML Cite \textit{C. Baek} et al., Electron. J. Stat. 12, No. 2, 4377--4411 (2018; Zbl 1409.62167) Full Text: DOI Euclid
Wang, Lan; Van Keilegom, Ingrid; Maidman, Adam Wild residual bootstrap inference for penalized quantile regression with heteroscedastic errors. (English) Zbl 06994540 Biometrika 105, No. 4, 859-872 (2018). MSC: 62P10 PDF BibTeX XML Cite \textit{L. Wang} et al., Biometrika 105, No. 4, 859--872 (2018; Zbl 06994540) Full Text: DOI
Boyd, Nicholas; Hastie, Trevor; Boyd, Stephen; Recht, Benjamin; Jordan, Michael I. Saturating splines and feature selection. (English) Zbl 06982953 J. Mach. Learn. Res. 18(2017-2018), Paper No. 197, 32 p. (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{N. Boyd} et al., J. Mach. Learn. Res. 18, Paper No. 197, 32 p. (2018; Zbl 06982953) Full Text: Link
Madrid Padilla, Oscar Hernan; Sharpnack, James; Scott, James G.; Tibshirani, Ryan J. The DFS fused lasso: linear-time denoising over general graphs. (English) Zbl 06982932 J. Mach. Learn. Res. 18(2017-2018), Paper No. 176, 36 p. (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{O. H. Madrid Padilla} et al., J. Mach. Learn. Res. 18, Paper No. 176, 36 p. (2018; Zbl 06982932) Full Text: Link
van de Geer, Sara On tight bounds for the Lasso. (English) Zbl 06982337 J. Mach. Learn. Res. 19, Paper No. 46, 48 p. (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{S. van de Geer}, J. Mach. Learn. Res. 19, Paper No. 46, 48 p. (2018; Zbl 06982337) Full Text: Link arXiv
Chen, Ruidi; Paschalidis, Ioannis Ch. A robust learning approach for regression models based on distributionally robust optimization. (English) Zbl 1437.68149 J. Mach. Learn. Res. 19, Paper No. 13, 48 p. (2018). MSC: 68T05 90C17 62J05 60B10 62F35 62J07 90C47 PDF BibTeX XML Cite \textit{R. Chen} and \textit{I. Ch. Paschalidis}, J. Mach. Learn. Res. 19, Paper No. 13, 48 p. (2018; Zbl 1437.68149) Full Text: Link
Obayashi, Ippei; Hiraoka, Yasuaki; Kimura, Masao Persistence diagrams with linear machine learning models. (English) Zbl 1405.62250 J. Appl. Comput. Topol. 1, No. 3-4, 421-449 (2018). MSC: 62P35 62J07 68T05 62H35 55U25 PDF BibTeX XML Cite \textit{I. Obayashi} et al., J. Appl. Comput. Topol. 1, No. 3--4, 421--449 (2018; Zbl 1405.62250) Full Text: DOI
Bellec, Pierre C.; Dalalyan, Arnak S.; Grappin, Edwin; Paris, Quentin On the prediction loss of the Lasso in the partially labeled setting. (English) Zbl 1408.62114 Electron. J. Stat. 12, No. 2, 3443-3472 (2018). MSC: 62H30 62G08 62J07 68T05 PDF BibTeX XML Cite \textit{P. C. Bellec} et al., Electron. J. Stat. 12, No. 2, 3443--3472 (2018; Zbl 1408.62114) Full Text: DOI Euclid arXiv
Devijver, Emilie; Gallopin, Mélina Block-diagonal covariance selection for high-dimensional Gaussian graphical models. (English) Zbl 1398.62020 J. Am. Stat. Assoc. 113, No. 521, 306-314 (2018). MSC: 62C20 62J07 62P10 62-09 62H99 PDF BibTeX XML Cite \textit{E. Devijver} and \textit{M. Gallopin}, J. Am. Stat. Assoc. 113, No. 521, 306--314 (2018; Zbl 1398.62020) Full Text: DOI
Wei, Xiaohan; Ling, Qing; Han, Zhu Robust group lasso: model and recoverability. (English) Zbl 1402.62110 Linear Algebra Appl. 557, 134-173 (2018). MSC: 62H12 62F35 62J07 94A12 PDF BibTeX XML Cite \textit{X. Wei} et al., Linear Algebra Appl. 557, 134--173 (2018; Zbl 1402.62110) Full Text: DOI
Gao, Xiaoli; Feng, Yang Penalized weighted least absolute deviation regression. (English) Zbl 06938682 Stat. Interface 11, No. 1, 79-89 (2018). MSC: 62F12 62F35 62P35 PDF BibTeX XML Cite \textit{X. Gao} and \textit{Y. Feng}, Stat. Interface 11, No. 1, 79--89 (2018; Zbl 06938682) Full Text: DOI
Shi, Xingjie; Huang, Yuan; Huang, Jian; Ma, Shuangge A forward and backward stagewise algorithm for nonconvex loss functions with adaptive Lasso. (English) Zbl 06920890 Comput. Stat. Data Anal. 124, 235-251 (2018). MSC: 62 PDF BibTeX XML Cite \textit{X. Shi} et al., Comput. Stat. Data Anal. 124, 235--251 (2018; Zbl 06920890) Full Text: DOI