Variable selection for zero-inflated and overdispersed data with application to health care demand in Germany

Regularization Paths for Generalized Linear Models via Coordinate Descent

(2015) Jerome Friedman et al.   Journal of Statistical Software

Risk Factor Selection in Rate Making: EM Adaptive LASSO for Zero-Inflated Poisson Regression Models

(2014) Yanlin Tang et al.   RISK ANALYSIS

EM for regularized zero-inflated regression models with applications to postoperative morbidity after cardiac surgery in children

(2014) Zhu Wang et al.   STATISTICS IN MEDICINE

What belongs where? Variable selection for zero-inflated count models with an application to the demand for health care

(2012) Markus Jochmann   COMPUTATIONAL STATISTICS

Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection

(2011) Patrick Breheny et al.   Annals of Applied Statistics

New variable selection methods for zero-inflated count data with applications to the substance abuse field

(2011) Anne Buu et al.   STATISTICS IN MEDICINE

Nearly unbiased variable selection under minimax concave penalty

(2010) Cun-Hui Zhang   ANNALS OF STATISTICS

Two-part regression models for longitudinal zero-inflated count data

(2010) Marco Alfò et al.   CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE

On estimation and influence diagnostics for zero-inflated negative binomial regression models

(2010) Aldo M. Garay et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Investigation about a screening step in model selection

(2008) Willi Sauerbrei et al.   STATISTICS AND COMPUTING