Bayesian mixture modelling offers a probabilistic framework for representing heterogeneity in data by assuming observations arise from a mixture of latent subpopulations, each described by a component ...

Bayesian spatial survival modelling combines probabilistic time-to-event analysis with spatial correlation structures to improve inference on how risk varies across locations. At its core, the ...

Artificial intelligence can solve problems at remarkable speed, but it's the people developing the algorithms who are truly driving discovery. At The University of Texas at Arlington, data scientists ...

Revolutionizing Dairy Genetics and Breeding StrategiesDairy cattle breeding programs are increasingly confronting a category of traits that ...

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 ...