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 ...

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 ...

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 ...

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 ...

Gonzalo Arce College of Engineering — Electrical and Computer Engineering [email protected] Machine learning, data science, graph signal and data processing, geometrical neural networks, statistical ...

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 ...

There is a resurgence of Media Mix Modeling (MMM) in the digital marketing landscape due to privacy changes like the loss of cookies and mobile IDs. The top three advertising platforms, Meta, Google, ...