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 ...

New research shows Americans' economic circumstances shape their democratic values more than political ideology when forced ...

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

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 ...

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 ...

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 ...

A Husqvarna researcher developed a fast, interpretable PV hotspot-detection method using IR thermography and Lab* color-space features instead of heavy neural networks, achieving up to 95.2% accuracy ...

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 ...

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

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

Introduction Human papillomavirus (HPV) vaccines have been introduced in the Chinese market since 2016. However, the HPV ...

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