Longitudinal Data Analysis

Michael Tzen May 21, 2015 2:00pm-5:00pm 2400 Public Affairs Building An increasing number of longitudinal datasets are being made available. The longitudinal nature of the dataset may be represented as a hierarchy of stages, say, measurements across time nested within an individual. We’ll discuss how hierarchical models account for the nested structures and how Generalized […]

Bayesian Statistical Modeling Using Stan

4240 Public Affairs Bldg

Daniel Lee June 23, 2015 10:00 AM-12:00 PM 4240 Public Affairs Building Stan is an open-source, Bayesian inference tool with interfaces in R, Python, Matlab, Julia, Stata, and the command line. Users write statistical models in a high-level statistical language. The default Bayesian inference algorithm is the no-U-turn sampler (NUTS), an auto-tuned version of Hamiltonian […]