Biostatistics 697G - ST-BayesianComputation/Biostat

Spring
2016
01
3.00
Leontine Alkema
M 4:00PM 6:45PM
UMass Amherst
70119
This course will introduce theory and application of Bayesian methods for analysis of biomedical datasets. A significant part of the course will be hands-on training in Bayesian computation using the R statistical language. Topics to be covered include examples illustrating Bayesian thinking, estimation of single and multi-parameter models and Bayesian computation using Markov Chain Monte Carlo (MCMC) methods.
STATISTC 515 & 516
Permission is required for interchange registration during the add/drop period only.
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