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 ...

5 Construct, in a Bayesian framework, hierarchical versions of common statistical models including Generalised Linear Models. 6 Use suitable software tools to set up and analyse Bayesian statistical ...

Several Program in Ecology faculty have expertise in statistics and modeling, including cutting-edge approaches in Bayesian modeling, spatial statistics, and computational biology. The Program also ...

Google's open-source marketing mix model (MMM) promises to modernise campaign performance for brands and ad agencies. But ...

Computer scientists at the Oxford Internet Institute, Imperial College London, and UCLouvain have developed a new mathematical model based on the Pitman-Yor process, a Bayesian statistical ...

We propose a framework for making Bayesian parametric models robust to local misspecification. Suppose in a baseline parametric model, a parameter of interest has an interpretation in an encompassing ...

Her research interests include statistical inference on high-dimensional directional data, geometrically anisotropic spatial process and spatial model estimation with matrix-free computation methods ...