An artificial intelligence (AI) model created by integrating clinical, molecular, and histopathological data significantly ...

An ANN model offers the most accurate and reliable prediction of bubble-point pressure for Rmelan crude oils. For practical ...

Circularity is no longer optional; it’s the blueprint for businesses that intend to thrive in the decades ahead.

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

That’s because a new framework is improving the probabilistic reasoning of LLMS like ChatGPT and Gemini. School of ...

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 ...

Background Endovascular therapy within 24 hours of stroke onset is effective and safe, but successful recanalization does not always give favorable outcomes. Ischemic postconditioning (IPostC), a ...

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 ...

Gender and ethnic disparities in breast cancer and cardiovascular disease-related mortality in United States from 1999-2019: A retrospective analysis. This is an ASCO Meeting Abstract from the 2025 ...

1 Department of Statistics, Kyungpook National University, Daegu, Republic of Korea 2 Busan Center for Medical Mathematics, National Institute for Mathematical Sciences, Daejeon, Republic of Korea ...

ABSTRACT: In this paper, we consider the estimation problem of the unknown link function in the nonparametric multiplicative regression model. Combining the penalized ...