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Bas Kleijn is a faculty member at the Korteweg-de Vries Institute for Mathematics, University of Amsterdam. With a strong focus on Bayesian Statistics, his teaching emphasizes understanding the basic properties of Bayesian methods and their applications to statistical questions. Kleijn's expertise extends to frequentist statistics, wherein he explores the assumptions underpinning distributions and their implications for statistical inference. His course covers a variety of statistical problems, starting from basic examples and advancing to complex applications of Bayesian inference, model selection, and decision theory. Additionally, he discusses non-parametric Bayesian modeling and posterior asymptotic behavior, including concepts like posterior consistency and the Bernstein-Von Mises theorem.
Includes departments like Economics, Business Administration, Finance, and Marketing.