Efficient and feasible inference for high-dimensional normal copula regression models-Reference-Cited by-同舟云学术

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Efficient and feasible inference for high-dimensional normal copula regression models

Published:2023-03 Issue: Volume:179 Page:107654
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Nikoloulopoulos Aristidis K.^ORCID

Funder

University of East Anglia

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference44 articles.

1. Analysis of Ordinal Categorical Data;Agresti,2010

2. Bayesian variable selection for Gaussian copula regression models;Alexopoulos;J. Comput. Graph. Stat.,2021

3. Multivariate probit analysis;Ashford;Biometrics,1970

4. Auranofin therapy and quality of life in patients with rheumatoid arthritis;Bombardier;Am. J. Med.,1986

5. Regression Analysis of Count Data;Cameron,1998

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