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 ...

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 ...

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 ...

This course equips learners with the theoretical knowledge and computational skills needed to implement modern Bayesian statistical methods in real-world settings. By completing the course, learners ...

There can be little doubt that marketing mix modeling (MMM) is having a moment. With the death of the cookie and increasing data privacy concerns from consumers, marketers are seeking alternatives to ...

Bernard May is the CEO of National Positions, a 5-time Inc. 500 company, award-winning marketing agency and Google Premier Partner. In my years as a marketing executive, I’ve seen teams spend months ...

Gonzalo Arce College of Engineering — Electrical and Computer Engineering arce@udel.edu Machine learning, data science, graph signal and data processing, geometrical neural networks, statistical ...