With the rising technological prowess and greater openness of Chinese models, the world is increasingly turning to the East for efficient and customizable AI, a new report finds.

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

An interdisciplinary team of University of Tennessee, Knoxville researchers recently published in Biophysical Journal on ...

This asynchronous course addresses the basic theory behind Statistical Process Control (SPC), a method used in monitoring and controlling the quality of a process through statistical analysis to ...

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 ...

A new ranking methodology places Barry Bonds over Babe Ruth as the game’s best player ever. Statisticians, at least, are cheering. By Alexander Nazaryan Every sport has its arguments over which player ...

Abstract: In this work, a semi-analytical compact model is developed to quantify the impact of random process variations on nanosheet field-effect transistors (NSFETs) at the 3nm technology node.

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 ...

In the first months of his administration, President Donald Trump repeatedly threatened due process, a fundamental principle enshrined in the U.S. Constitution. His attacks have spanned from the ...

Abstract: Emerging transistors lack the statistical compact models needed to evaluate the yield of integrated circuits. To address this, we propose a novel framework combining a variational ...