Bayesian Statistical Modeling Using Stan
4240 Public Affairs Building 4240 Public Affairs Building, Los Angeles, CA, United StatesThe Center for Social Statistics Presents: Instructor: Daniel Lee, Columbia University Abstract: 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 […]