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 ...

Bayesian statistics represents a powerful framework for data analysis that centres on Bayes’ theorem, enabling researchers to update existing beliefs with incoming evidence. By combining prior ...

Nate Silver, baseball statistician turned political analyst, gained a lot of attention during the 2012 United States elections when he successfully predicted the outcome of the presidential vote in ...

Sankhyā: The Indian Journal of Statistics, Series A (2008-), Vol. 76, No. 1 (February 2014), pp. 25-47 (23 pages) We consider the problem of estimating the sum of squared means when the data (x₁ ,. . ...

Everyone who spends time with children knows how incredibly much they learn. But how can babies and young children possibly learn so much so quickly? In a recent article in Science, I describe a ...

This is a preview. Log in through your library . Abstract Objectives-To take the common "Bayesian" interpretation of conventional confidence intervals to its logical conclusion, and hence to derive a ...

Machine Learning gets all the marketing hype, but are we overlooking Bayesian Networks? Here's a deeper look at why "Bayes Nets" are underrated - especially when it comes to addressing probability and ...