Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

This book, “Statistical Modeling and Computation,” provides a unique introduction to modern statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

The Master of Science (M.S.) in Applied Statistics and Decision Analytics is a multidisciplinary graduate degree program with a unique focus. The M.S. degree in Applied Statistics and Decision ...

In its original form, Gibbs-Boltzmann statistical mechanics cannot describe “active matter,” such as living, driven, or self-propelled systems. Contemporary models of swarming and flocking behaviors, ...