Huskies in Michigan Tech's statistics bachelor's degree program don't just participate in impactful research, they take the ...

Method comparison studies aim to evaluate whether two or more measurement techniques yield sufficiently similar results to be used interchangeably. Traditional approaches such as linear regression and ...

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 ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

“Sweet are the uses of adversity, which, like the toad, ugly and venomous, wears yet a precious jewel in his head.” – William Shakespeare, “As You Like It” (II.1.12–17) Despite extensive resilience ...

Machine learning and artificial intelligence wouldn't be possible without the statistical models that underpin their analytic capabilities. A Cornell statistician and his colleague have developed a ...

When I was a postdoctoral fellow at Harvard, I had the great fortune to be mentored by Robert Rosenthal, who passed away in 2024. His courses on Research Methods and Statistics were epic, and his ...