In their article “Make Math a Gateway, Not a Gatekeeper” (The Chronicle, April 23), Anthony S. Bryk and Uri Treisman describe a problem and how the Carnegie Foundation for the Advancement of Teaching ...

Finding a convincing explanation of a complex issue is no easy task. The decision about what qualifies as the "best" solution is inevitably subject to biases and approximations. Coupling statistics ...

A team of scientists at Freie Universität Berlin has developed an Artificial Intelligence (AI) method that provides a fundamentally new solution of the "sampling problem" in statistical physics. The ...

Industry needs holistic statisticians who are nimble problem solvers. They need to be able to work smoothly on teams and to communicate effectively about their work. Many of industry's statistics ...

The Statistical & Data Sciences (SDS) Program links faculty and students from across the college interested in learning things from data. At Smith, students learn statistics by doing—class time ...

Random constraint satisfaction problems (CSPs) form a class of models in which a collection of discrete variables is subject to a set of randomly generated constraints. Inspired by paradigms in ...