A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

A big part of his work is figuring out when a statistical method is truly the best choice. Some problems have straightforward ...

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...

As online education expanded dramatically during and beyond the COVID-19 pandemic, educators faced unprecedented challenges supporting bilingual students ...

What are your research topics? I develop statistical methods that help people make sense of complex and high-dimensional data — for example, information collected from many sensors, locations, or ...

The Ph.D. in educational statistics and research methods (ESRM) prepares students interested in statistics, psychometrics, education measurement, assessment and evaluation to develop, critically ...

The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...

The U.S. Food and Drug Administration (FDA) has issued new draft guidance modernizing statistical methodologies used in ...

Quantitative and qualitative approaches face different challenges and expectations, particularly when it comes to data ...

US FDA issues guidance on modernizing statistical methods for clinical trials: Maryland Wednesday, January 14, 2026, 09:00 Hrs [IST] The US Food and Drug Administration today publ ...

Learn to apply Bayes' theorem in financial forecasting for insightful, updated predictions. Enhance decision-making with ...

The Ministry of Statistics and Programme Implementation (MOSPI) will enhance quarterly GDP calculations by integrating high-frequency indicators. New data sources include vehicle registrations from ...