Sparse Poisson regression with penalized weighted score function

DOI10.1214/19-EJS1580zbMath1431.62300arXiv1703.03965OpenAlexW2970191091MaRDI QIDQ2323944

Lihu Xu, Fang Xie, Jinzhu Jia

Publication date: 13 September 2019

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1703.03965

zbMATH Keywords

image reconstructionPoisson regressionsquare root Lassotuning-free

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Image analysis in multivariate analysis (62H35) Statistical aspects of big data and data science (62R07)

Related Items (6)

Unnamed Item ⋮ A New Homotopy Proximal Variable-Metric Framework for Composite Convex Minimization ⋮ Weak Signal Identification and Inference in Penalized Likelihood Models for Categorical Responses ⋮ Unnamed Item ⋮ Consistency of \(\ell_1\) penalized negative binomial regressions ⋮ Estimating a regression function in exponential families by model selection

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• On asymptotically optimal confidence regions and tests for high-dimensional models
• Nearly unbiased variable selection under minimax concave penalty
• The Adaptive Lasso and Its Oracle Properties
• Self-normalized Cramér type moderate deviations for the maximum of sums
• Berry-Esseen type estimates for large deviation probabilities
• High-dimensional Ising model selection using \(\ell _{1}\)-regularized logistic regression
• Self-concordant analysis for logistic regression
• On model selection consistency of regularized M-estimators
• Simultaneous analysis of Lasso and Dantzig selector
• Adaptive Lasso and group-Lasso for functional Poisson regression
• Square-root lasso: pivotal recovery of sparse signals via conic programming
• Non-Uniform Estimates, Moderate and Large Deviations in the Central Limit Theorem form-Dependent Random Variables
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Compressed Sensing Performance Bounds Under Poisson Noise
• Nonconcave Penalized Likelihood With NP-Dimensionality

This page was built for publication: Sparse Poisson regression with penalized weighted score function