Parameter interpretation in skewed logistic regression with random intercept

DOI10.1214/13-BA813zbMath1329.62306OpenAlexW2021362137MaRDI QIDQ908006

Cristiano C. Santos, Reinaldo B. Arellano-Valle, Rosangela H. Loschi

Publication date: 2 February 2016

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ba/1369407557

zbMATH Keywords

clustermixed modelsskew normal distributionrandom odds ratio

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian inference (62F15) General nonlinear regression (62J02)

Related Items (6)

Maximum likelihood estimation and parameter interpretation in elliptical mixed logistic regression ⋮ EM-Type algorithms for heavy-tailed logistic mixed models ⋮ Multivariate log-skewed distributions with normal kernel and their applications ⋮ The exact density of the sum of independent skew normal random variables ⋮ Shannon entropy and Kullback–Leibler divergence in multivariate log fundamental skew‐normal and related distributions ⋮ Bayesian robustness in change point analysis

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