Castelletti, Federico; Mascaro, Alessandro Structural learning and estimation of joint causal effects among network-dependent variables. (English) Zbl 1477.62393 Stat. Methods Appl. 30, No. 5, 1289-1314 (2021). MSC: 62R07 62F15 62H22 68T35 PDFBibTeX XMLCite \textit{F. Castelletti} and \textit{A. Mascaro}, Stat. Methods Appl. 30, No. 5, 1289--1314 (2021; Zbl 1477.62393) Full Text: DOI
Klüppelberg, Claudia; Krali, Mario Estimating an extreme Bayesian network via scalings. (English) Zbl 1461.62083 J. Multivariate Anal. 181, Article ID 104672, 23 p. (2021). MSC: 62H22 62R01 62G30 62G32 60G70 60F10 65S05 05C90 62P10 62P05 PDFBibTeX XMLCite \textit{C. Klüppelberg} and \textit{M. Krali}, J. Multivariate Anal. 181, Article ID 104672, 23 p. (2021; Zbl 1461.62083) Full Text: DOI arXiv
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 PDFBibTeX XMLCite \textit{J. Gu} and \textit{Q. Zhou}, J. Mach. Learn. Res. 21, Paper No. 158, 31 p. (2020; Zbl 07307465) Full Text: arXiv Link
Müller, Dominik; Czado, Claudia Representing sparse Gaussian DAGs as sparse R-vines allowing for non-Gaussian dependence. (English) Zbl 07498951 J. Comput. Graph. Stat. 27, No. 2, 334-344 (2018). MSC: 62-XX PDFBibTeX XMLCite \textit{D. Müller} and \textit{C. Czado}, J. Comput. Graph. Stat. 27, No. 2, 334--344 (2018; Zbl 07498951) Full Text: DOI arXiv
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 PDFBibTeX XMLCite \textit{P. Nandy} et al., Ann. Stat. 46, No. 6A, 3151--3183 (2018; Zbl 1411.62144) Full Text: DOI arXiv Euclid
Pircalabelu, Eugen; Claeskens, Gerda; Gijbels, Irène Copula directed acyclic graphs. (English) Zbl 1505.62322 Stat. Comput. 27, No. 1, 55-78 (2017). MSC: 62-08 62H05 62H20 62H22 PDFBibTeX XMLCite \textit{E. Pircalabelu} et al., Stat. Comput. 27, No. 1, 55--78 (2017; Zbl 1505.62322) Full Text: DOI Link
Colombo, Diego; Maathuis, Marloes H. Order-independent constraint-based causal structure learning. (English) Zbl 1312.68165 J. Mach. Learn. Res. 15, 3921-3962 (2014). MSC: 68T05 62-04 62H99 68R10 92D10 PDFBibTeX XMLCite \textit{D. Colombo} and \textit{M. H. Maathuis}, J. Mach. Learn. Res. 15, 3921--3962 (2014; Zbl 1312.68165) Full Text: arXiv Link
Presanis, Anne M.; Ohlssen, David; Spiegelhalter, David J.; De Angelis, Daniela Conflict diagnostics in directed acyclic graphs, with applications in Bayesian evidence synthesis. (English) Zbl 1331.62160 Stat. Sci. 28, No. 3, 376-397 (2013). MSC: 62F15 05C05 62P10 PDFBibTeX XMLCite \textit{A. M. Presanis} et al., Stat. Sci. 28, No. 3, 376--397 (2013; Zbl 1331.62160) Full Text: DOI arXiv Euclid
Bühlmann, P.; Kalisch, M.; Maathuis, M. H. Variable selection in high-dimensional linear models: partially faithful distributions and the PC-simple algorithm. (English) Zbl 1233.62135 Biometrika 97, No. 2, 261-278 (2010). MSC: 62J05 62H05 05C90 65C60 05C20 PDFBibTeX XMLCite \textit{P. Bühlmann} et al., Biometrika 97, No. 2, 261--278 (2010; Zbl 1233.62135) Full Text: DOI arXiv
Drton, Mathias; Perlman, Michael D. A SINful approach to Gaussian graphical model selection. (English) Zbl 1130.62068 J. Stat. Plann. Inference 138, No. 4, 1179-1200 (2008). MSC: 62J15 05C90 05C20 PDFBibTeX XMLCite \textit{M. Drton} and \textit{M. D. Perlman}, J. Stat. Plann. Inference 138, No. 4, 1179--1200 (2008; Zbl 1130.62068) Full Text: DOI