Convergence complexity analysis of albert and chib's algorithm for Bayesian probit regression

Keyphrases

• ChiB 100%
• Convergence Complexity 100%
• Bayesian Probit Regression 100%
• Minorization Condition 66%
• Data Augmentation 33%
• Markov Chain Monte Carlo 33%
• High Dimension 33%
• Type of Analysis 33%
• Convergence Rate 33%
• Markov Chain 33%
• Asymptotic Analysis 33%
• Posterior Probability 33%
• Drift Condition 33%
• Stationarity 33%
• Statist 33%
• Total Variation Distance 33%
• Bounded below 33%
• Computable Bounds 33%
• MCMC Algorithm 33%
• Probit Regression Model 33%
• Bayesian Problems 33%
• Drift Function 33%
• Geometric Convergence 33%

Mathematics

• Bayesian 100%
• Probit Regression 100%
• Convergence Rate 100%
• Probability Theory 50%
• Covariate 50%
• Stationarity 50%
• Markov Chain Monte Carlo 50%
• Regression Model 50%
• Bayesian Problems 50%
• Total Variation Distance 50%
• Main Result 50%
• Markov Chain 50%
• Asymptotic Analysis 50%