A Gibbs Sampling Algorithm for a Changing Regression Model with Pooled Binary Response Data

DOI10.1080/03610920600974500zbMath1115.65010OpenAlexW1972450407MaRDI QIDQ3435985

Sungwon Kang

Publication date: 8 May 2007

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920600974500

zbMATH Keywords

algorithmnumerical examplesGibbs samplingdata augmentationbinary responsechanging regression

Mathematics Subject Classification ID

General nonlinear regression (62J02)

Cites Work

• Approximating the distribution of the maximum likelihood estimate of the change-point in a sequence of independent random variables
• Maximum likelihood estimation of a change-point in the distribution of independent random variables: general multiparameter case
• A new test for structural stability in the linear regression model
• Estimation and comparison of multiple change-point models
• Structural changes in multivariate regression models
• The Calculation of Posterior Distributions by Data Augmentation
• Some Bayesian Inferences for a Changing Linear Model
• Bayesian inferences related to shifting sequences and two-phase regression
• Estimating and Testing Linear Models with Multiple Structural Changes
• Hierarchical Bayesian Analysis of Changepoint Problems
• Bayesian Retrospective Multiple-Changepoint Identification
• Bayesian Analysis of Binary and Polychotomous Response Data
• Inference about the change-point in a sequence of random variables
• Tools for statistical inference. Methods for the exploration of posterior distributions and likelihood functions.

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