Discover how predictive analytics uses data-driven models like decision trees and neural networks to forecast outcomes and ...

Learn about econometrics, including how it uses statistical models and data analysis to test economic theories, forecast ...

The analysis of categorical data underpins inquiries across disciplines ranging from social sciences to genomics. At its core, categorical data analysis seeks to model relationships between variables ...

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 ...

The following is a summary of a story that originally appears on the Trinity College of Arts & Sciences website. As a new assistant professor in Duke’s Department of Statistical Science, Lasse ...

Overview:  Statistics courses teach practical data analysis skills that can be used in real jobs and business ...

In the 21st century, artificial intelligence (AI) has emerged as a valuable approach in data science and a growing influence in medical research, 4-6 with an accelerating pace of innovation. This ...

Researchers at the University of Oregon have developed an artificial intelligence tool that can read genetic code the way ...

University of Oregon researchers have developed an AI tool, based on modified GPT-2 architecture, that can reconstruct genetic ancestry in minutes by reading DNA mutation patterns. Matching the ...