Bayesian predictive density estimation represents a cornerstone of modern statistical inference by integrating prior knowledge with observed data to produce a predictive distribution for future ...

How modern mathematics helps policymakers and insurers connect the dots of the country’s fragmented demographic data ...

The following information was released by the Federal Reserve Bank of Atlanta:. In preparation for FOMC meetings, policymakers have the Fed Board staff projection of this "advance" estimate at their ...

Centers for Disease Control and Prevention researchers report national estimates of 43.6 million COVID-19-associated ...

Wesley Johnson, Jessica Utts, Larry Pearson, Bayesian Robust Estimation of the Mean, Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 35, No. 1 (1986), pp. 63-72 ...

A tiny fossil fish from Alberta is forcing scientists to rethink a story that has sat quietly in textbooks for decades. It is ...

A smooth empirical Bayes estimator for a binomial parameter is derived. The risk in using this estimator is compared by simulation with that of eight other binomial estimators. For those estimators ...

In a remote corner of East Greenland, a section of mountain gave way, collapsing into a narrow glacial fjord bounded by steep ...

To investigate the emergence of a pro-wealthy bias in the US Supreme Court, we develop a protocol to identify and analyze all cases involving economic issues from 1953 to the present. We categorize ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

DNA analysis of cultural artifacts shows diverse biological profiles, but contamination and mixed signals complicate historical lineage interpretation.

Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.