They will highlight their complementary research and training backgrounds, as well as the early agencies, workgroups, funders, and collaborative opportunities that allowed them to build off of mutual ...

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 ...

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 ...

2024 - Bristol-Meyers Squibb was awarded for “PMI Prediction and Bayesian Optimization: Two Tools with One Goal Towards the Development of ‘Greener-by-Design’ Synthesis of APIs” Read more about BMS’s ...

Exploration of the intractable posterior distributions associated with Bayesian versions of the general linear mixed model is often performed using Markov chain Monte Carlo. In particular, if a ...

Description This course offers a rigorous yet practical exploration of Bayesian reasoning for data-driven inference and decision-making. Students will gain a deep understanding of probabilistic ...

We develop a Bayesian functional linear model to study how the different "moments" in the MTM data contribute to the overall judgment. Our approach incorporates a (temporally) weighted average of MTM ...

Recast puts state-of-the-art marketing science tools into the hands of practitioners. Tools for marketing mix modeling (MMM), forecasting and planning, and robust marketing optimization can be used ...

Kipi.ai is excited to offer its Marketing Mix Modeling and Analytics App on the Snowflake AI Data Cloud. As a trusted services partner in Snowflake’s ...