Reducing the under-5 mortality rate (U5MR) is a key public health priority and remains a persistent challenge in low- and ...

News that large language models (LLM) have made major advances in solving Erdős problems – a set of problems formulated by the renowned 20 th-century mathematician Paul Erdős – has created an ...

Who are the statistical favourites? Data analyst Julian Rux examines the four teams contesting the semi-finals of the EHF ...

Abstract: This article deals with a risk probability minimization problem for finite horizon continuous-time Markov decision processes with unbounded transition rates and history-dependent policies.

Abstract: Optimal Bayesian multi-target filtering is, in general, computationally impractical owing to the high dimensionality of the multi-target state. The probability hypothesis density (PHD) ...

Brian Beers is a digital editor, writer, Emmy-nominated producer, and content expert with 15+ years of experience writing about corporate finance & accounting, fundamental analysis, and investing.

Marty Makary was appointed commissioner of the Food and Drug Administration (FDA) in 2025. The prominent surgeon, medical researcher, bestselling author, and critic of the medical ...

Samantha (Sam) Silberstein, CFP®, CSLP®, EA, is an experienced financial consultant. She has a demonstrated history of working in both institutional and retail environments, from broker-dealers to ...

Sometimes in a comparison of the frequency of observations in a fourfold table the numbers are too small for the χ² test (Chapter 8). The exact probability test devised by Fisher, Irwin, and Yates (1) ...

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Augmented inverse probability weighting (AIPW) is a doubly robust estimator for causal inference. The AIPW package is designed for estimating the average treatment effect of a binary exposure on risk ...

Probability theory is indispensable in computer science: It is at the core of artificial intelligence and machine learning, which require decision making under uncertainty. It is integral to CS theory ...