Mixture models for type II censored survival data in the presence of covariates

DOI10.1007/S001800050015zbMath0934.62100OpenAlexW2012104126MaRDI QIDQ1966368

Jorge Alberto Achcar, Gilberto De Araujo Pereira

Publication date: 1 March 2000

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s001800050015

zbMATH Keywords

Metropolis-Hastings algorithmmixture modelsGibbs samples

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Censored data models (62N01) Bayesian inference (62F15) Numerical analysis or methods applied to Markov chains (65C40)

Related Items (4)

Review and implementation of cure models based on first hitting times for Wiener processes ⋮ Heteroscedastic normal-exponential mixture models: Bayesian and classical approaches ⋮ Mixture of Distributions in the Biparametric Exponential Family: A Bayesian Approach ⋮ Heteroscedastic Weibull-Normal Mixture Models: A Bayesian Approach

Cites Work

• Inference from iterative simulation using multiple sequences
• Sampling-Based Approaches to Calculating Marginal Densities
• The Calculation of Posterior Distributions by Data Augmentation
• Statistical analysis of finite mixture distributions
• Bayesian Analysis of Binary and Polychotomous Response Data
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