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A Bayesian information criterion for singular models

, и . (сентября 2013)

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Mathias Rausch

Stärkung des Informationsanspruchs durch das Arca-nigra-Verfahren: ein In-camera-Verfahren zur Kontrolle der Informationsgabe. Uni Köln, (2009)

Mathias Rafler

Gaussian loop- and Pólya processes: a point process approach. Uni Potsdam, (2009)

Mathias Guder

Photo-resist stripping with DI/O3 in semiconductor device manufacturing: process chemistry and analytical aspects. Uni Frankfurt Main, (2010)

Mathias Ziegler

Mathias Ehrlich

 

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Nonparametric Reduced Rank Regression., , , и . NIPS, стр. 1637-1645. (2012)Maximum Likelihood Estimates for Gaussian Mixtures Are Transcendental., , и . MACIS, том 9582 из Lecture Notes in Computer Science, стр. 579-590. Springer, (2015)extttcausalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery., , , , , и . CLeaR, том 236 из Proceedings of Machine Learning Research, стр. 609-642. PMLR, (2024)A New Algorithm for Maximum Likelihood Estimation in Gaussian Graphical Models for Marginal Independence., и . UAI, стр. 184-191. Morgan Kaufmann, (2003)Causal Discovery of Linear Non-Gaussian Causal Models with Unobserved Confounding., , и . CoRR, (2024)Discrete Chain Graph Models. Bernoulli, 15 (arXiv:0909.0843. IMS-BEJ-BEJ172): 736-753 (сентября 2009)Comments: Published in at http://dx.doi.org/10.3150/08-BEJ172 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm).Graphical Models for Non-Negative Data Using Generalized Score Matching., , и . AISTATS, том 84 из Proceedings of Machine Learning Research, стр. 1781-1790. PMLR, (2018)Definite Non-Ancestral Relations and Structure Learning., , и . CoRR, (2021)Extended Bayesian Information Criteria for Gaussian Graphical Models., и . NIPS, стр. 604-612. Curran Associates, Inc., (2010)Dual Likelihood for Causal Inference under Structure Uncertainty., и . CLeaR, том 236 из Proceedings of Machine Learning Research, стр. 1-17. PMLR, (2024)