Offered through an interdisciplinary partnership, data science at CU Boulder is delivered by the Departments of Applied Mathematics, Computer Science, and Information Science and awarded by the ...

Bayesian approaches to variable selection and model comparison construct a coherent probabilistic framework that integrates prior beliefs with observed data. In variable selection, each candidate ...

Mixed models for longitudinal data analysis provide a unified framework to examine repeated measurements collected over time from individuals or experimental units. By incorporating both fixed effects ...

Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

Introduction -- Binary response -- Binomial and proportion responses -- Variations on logistic regression -- Count regression -- Contingency tables -- Multinomial data -- Generalized linear models -- ...