For more than 60 years, this blank slate approach has been the Food and Drug Administration’s gold standard — and for good ...

Learn to apply Bayes' theorem in financial forecasting for insightful, updated predictions. Enhance decision-making with ...

Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...

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

Currently, ESPresense Companion outputs a single, crisp room assignment per device based on multilateration from RSSI signals. This can be brittle in edge cases (e.g., devices near room boundaries or ...

Binary outcomes are frequently encountered in a variety of fields and contexts and the Bayesian approach is widely used to analyze this type of data. Under this framework, a beta prior distribution ...

Heterogeneity among experimental units can introduce experimental errors, necessitating the use of techniques that enhance statistical inferences to address this ...

Second Research Department, China Research Institute of Radiowave Propagation, Qingdao, China Automatic Identification System (AIS) operates within a very high frequency (VHF) maritime mobile band, ...

1 Department of Biochemistry, Brandeis University, Waltham, MA, United States 2 Department of Biology, Brandeis University, Waltham, MA, United States This study explores the efficacy of Bayesian ...

Based on the compounding mechanism, a unique discrete probability distribution is investigated in this paper. The Poisson distribution is mixed with a lifetime model called as the Fav-Jerry model. The ...

Mathematics Department, Egerton University, Njoro Nakuru, Kenya. Bayesian techniques have been applied in many epidemiological settings, such as disease monitoring, outbreak simulation, and prevalence ...