Chung-Ki Min

personbayesianmcmcgibbs-samplerconvergence

Overview

Chung-Ki Min was an assistant professor at George Mason University, School of Business Administration (Fairfax, VA) in the mid-1990s. He collaborated with Arnold Zellner on Bayesian computation and model selection, including work on time-varying parameter models estimated by Gibbs sampling and on convergence diagnostics for MCMC.

Key Contributions / Features

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