The US Food and Drug Administration (FDA) is now “open to bayesian statistics,” contrasting this with the frequentist approach that the agency and the drug industry have historically relied on for ...

Bayesian thinking helps you make better decisions by updating your beliefs when new evidence appears. Even in games of chance like scratch-off lotteries, paying attention to information can improve ...

The FDA's draft guidance promotes Bayesian methods to improve clinical trial efficiency, reduce costs, and enhance data utilization while maintaining rigorous safety and efficacy standards. Bayesian ...

Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how the Bayesian and Buhlmann methods relate.

This site displays a prototype of a “Web 2.0” version of the daily Federal Register. It is not an official legal edition of the Federal Register, and does not replace the official print version or the ...

Incrementality testing in Google Ads is suddenly within reach for far more advertisers than before. Google has lowered the barriers to running these tests, making lift measurement possible even ...

Abstract: For inverse synthetic aperture radar (ISAR) imaging under sparse aperture (SA) conditions, the rotation motion compensation is seldom considered. However, with the improvement of resolution, ...

Faculty of Engineering Sciences, Kyushu University, Kasuga, Fukuoka 816-8580, Japan Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) ...

Patients were stratified to cohort A (unspecified tumors) or cohort B (rare genomic alterations). The TARGET-CRM design permits cohort B patients to immediately enroll at one dose level below the ...

In this paper, researchers from Queen Mary University of London, UK, University of Oxford, UK, Memorial University of Newfoundland, Canada, and Google DeepMind Moutain View, CA, USA proposed a ...

Multi-label text classification (MLTC) assigns multiple relevant labels to a text. While deep learning models have achieved state-of-the-art results in this area, they require large amounts of labeled ...