MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.

Introduction Achieving physical activity recommendations for health as part of mental healthcare for adults with severe mental illness (SMI) could enhance clinical, functional and quality of life ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

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 ...

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 ...

The mathematics behind artificial intelligence (AI) and machine learning (ML) rely on linear algebra, calculus, probability, and statistics. These provide the foundation for developing the needed ...

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 ...

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