Adaptive Bayesian SLOPE -- High-dimensional Model Selection with Missing Values

Wei Jiang, Małgorzata Bogdan, Julie Josse, Błażej Miasojedow, Veronika Ročková

Type: Preprint

Publication Date: 2019-01-01

Citations: 7

DOI: https://doi.org/10.48550/arxiv.1909.06631

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arXiv (Cornell University) - View
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+ PDF Chat	On the Asymptotic Properties of SLOPE	2020	Michał Kos Małgorzata Bogdan
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+	Identifying important predictors in large data bases -- multiple testing and model selection	2020	Małgorzata Bogdan Florian Frommlet
+ PDF Chat	Identifying Important Predictors in Large Data Bases − Multiple Testing and Model Selection	2021	Małgorzata Bogdan Florian Frommlet

Works Cited by This (26)

Action	Title	Year	Authors
+ PDF Chat	Convergence of a stochastic approximation version of the EM algorithm	1999	Bernard Delyon Marc Lavielle Éric Moulines
+ PDF Chat	Stochastic Versions of the EM Algorithm	1992	Gilles Celeux Didier Chauveau Jean Diebolt
+	SLOPE—Adaptive variable selection via convex optimization	2015	Małgorzata Bogdan E. van den Berg Chiara Sabatti Weijie Su Emmanuel J. Candès
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou
+	Statistical Analysis With Missing Data	1989	Maureen Lahiff Roderick J. A. Little Donald B. Rubin
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin
+ PDF Chat	Variable Selection with Incomplete Covariate Data	2008	Gerda Claeskens Fabrizio Consentino
+ PDF Chat	Model Selection Criteria for Missing-Data Problems Using the EM Algorithm	2008	Joseph G. Ibrahim Hongtu Zhu Niansheng Tang
+	Inference and missing data	1976	Donald B. Rubin
+	Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing	1995	Yoav Benjamini Yosef Hochberg