Statistical modelling of complex survey data addresses the challenge of making valid inferences from samples collected under elaborate designs involving stratification, clustering and unequal ...

Demand is at an all-time high for data analysts who can help organizations, technology companies, governments, and nonprofit agencies grasp their organizational, societal, and scientific needs. The ...

Statistical modeling of skew-normal distributions provides a versatile framework for capturing asymmetry in univariate and multivariate data. By introducing a shape parameter to the classical normal ...

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 ...