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 ...

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 ...

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 ...

It turns out that the old adage about statistics and damned lies wasn’t a joke. Sticks and stones may be bonebreakers, and words inflict no (physical) pain, but numbers can kill. In 2004, for instance ...

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 ,. . ...

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 ...