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 ...

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 ...

Ecologists are increasingly familiar with Bayesian statistical modeling and its associated Markov chain Monte Carlo (MCMC) methodology to infer about or to discover interesting effects in data. The ...

We present techniques for jointly modeling binomial and rank data using Bayesian latent variable models. We apply these techniques to compare the cognitive abilities of nonhuman primates based on ...

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 ...