Ensemble models, comprising multiple algorithms or simulations to improve prediction accuracy, are increasingly being applied ...

New BeyondTrust research shows statistical models outperform heuristics in detecting Kerberoasting attacks. Better accuracy, ...

Statistical models, both traditional and modern, rely on a set of assumptions that, if unmet, can lead to erroneous conclusions and misguided decision-making [1].

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 ...

A statistical model is a formalization of relationships between variables in the form of mathematical equations. A statistical model describes how one or more random variables are related to one ...

"Dynamic measurement modeling does not require a specialized computer to run and does not take much longer than standard statistical models used in this area," McNeish said. "Logistically, all the ...

A statistical model--now an easy-to-use software tool--local police can use to identify a series of related crimes and nab a suspect was unveiled by Michael D. Porter during a presentation at the ...

Statistical modeling techniques that retailers and manufacturers use to find and target customers helped some prognosticators predict the outcome of this month’s U.S. elections with stunning ...