Identification of proportionality structure with two-part models using penalization
From MaRDI portal
Publication:1659176
DOI10.1016/J.CSDA.2016.01.002zbMath1468.62052OpenAlexW2235542489MaRDI QIDQ1659176
Ben-Chang Shia, Shuangge Ma, Kuangnan Fang, Xiao-Yan Wang
Publication date: 15 August 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2016.01.002
Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)
Uses Software
Cites Work
- Unnamed Item
- Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection
- Determination of proportionality in two-part models and analysis of multi-ethnic study of atherosclerosis (MESA)
- Semiparametric zero-inflated modeling in multi-ethnic study of atherosclerosis (MESA)
- Bayesian analysis of zero-inflated regression models
- Handling endogeneity and nonnegativity in correlated random effects models: Evidence from ambulatory expenditure
- Generalized Additive Models for Zero-Inflated Data with Partial Constraints
- Regularized Estimation in the Accelerated Failure Time Model with High-Dimensional Covariates
- Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
- A Two-Part Random-Effects Model for Semicontinuous Longitudinal Data
- Two‐part regression models for longitudinal zero‐inflated count data
- Two-Part Models for Analysis of Agatston Scores with Possible Proportionality Constraints
- Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods
- Random effect models for repeated measures of zero-inflated count data
- Convergence of a block coordinate descent method for nondifferentiable minimization
This page was built for publication: Identification of proportionality structure with two-part models using penalization