| 2022/03/03 Technique in Biostatistics and Epidemiology Event1 #715253 Module 1: Applied probabilistic programming – Probabilistic programming provides a flexible and automatic implementation of efficient procedures for Bayesian statistical analysis. This module will provide a general background on the Hamiltonian Monte Carlo sampler, which underlies the popular Stan programming language, followed by a practical demonstration of Stan in R. |
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