Computer tools (R). Applications: Linear models in Regression and Classification (Bayesian Linear Regression, Generalized Linear Models, Logistic Regression), Hierarchical/ Multilevel Models, Bayesian ...

The main focus of this short course will be the Bayesian aspect of it. That means this is a slightly more advanced course requiring some knowledge of basic probability, regression methods, and the R ...

ALAIN DURMUS, ÉRIC MOULINES, High-dimensional Bayesian inference via the unadjusted Langevin algorithm, Bernoulli, Vol. 25, No. 4A (November 2019), pp. 2854-2882 ...

Bayesian analyses of multivariate binary or categorical outcomes typically rely on probit or mixed effects logistic regression models that do not have a marginal logistic structure for the individual ...

The BEAM algorithm has two essential components: a bayesian epistasis inference tool implemented via MCMC and a novel test statistic for evaluating statistical significance.