Sparse Poisson regression with penalized weighted score function

Jinzhu Jia, Fang Xie, Lihu Xu

Type: Article

Publication Date: 2019-01-01

Citations: 10

DOI: https://doi.org/10.1214/19-ejs1580

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arXiv (Cornell University) - View - PDF
Project Euclid (Cornell University) - View - PDF
Electronic Journal of Statistics - View

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Citing (15)

Action	Title	Year	Authors
+	Empirical Processes: Theory and Applications	1990	David Pollard
+	Adaptive Lasso and group-Lasso for functional Poisson regression	2014	Stéphane Ivanoff Franck Picard Vincent Rivoirard
+	An Introduction to Numerical Analysis	1990	F. S. Kendall Atkinson
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li
+	Non‐Uniform Estimates, Moderate and Large Deviations in the Central Limit Theorem for <i>m</i>‐Dependent Random Variables	1985	Lothar Heinrich
+ PDF Chat	Simultaneous analysis of Lasso and Dantzig selector	2009	Peter J. Bickel Ya’acov Ritov Alexandre B. Tsybakov
+ PDF Chat	Nonconcave Penalized Likelihood With NP-Dimensionality	2011	Jianqing Fan Jinchi Lv
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani
+ PDF Chat	On model selection consistency of regularized M-estimators	2015	Jason D. Lee Yuekai Sun Jonathan Taylor
+	High-dimensional Ising model selection using ℓ1-regularized logistic regression	2010	Pradeep Ravikumar Martin J. Wainwright John Lafferty
+	On asymptotically optimal confidence regions and tests for high-dimensional models	2014	Sara van de Geer Peter Bühlmann Ya’acov Ritov Ruben Dezeure
+	Self-normalized Cramér type moderate deviations for the maximum of sums	2013	Weidong Liu Qi-Man Shao Qiying Wang
+ PDF Chat	Compressed Sensing Performance Bounds Under Poisson Noise	2010	Maxim Raginsky Rebecca Willett Zachary T. Harmany Roummel F. Marcia
+ PDF Chat	Square-root lasso: pivotal recovery of sparse signals via conic programming	2011	Alexandre Belloni Victor Chernozhukov Lei Wang