Can we predict ionospheric turbulence? A Bayesian model offers a global warning system

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

Bayes' Theorem: What It Is, Formula, and Examples

Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...
PsyPost on MSN

Evolutionary psychology’s “macho” face ratio theory has a major flaw

For years, evolutionary psychologists and biologists have investigated the idea that the shape of a man’s face can predict his behavior. A specific measurement known as the facial width-to-height ...
Opinion

How To Speed Up the Search for Cures Through a Change in Probability Theory

If the FDA follows through with the proposed guidelines, and they are not fatally twisted by pressure from the medical establishment and health care industry, it should bring fresh air and sunlight ...
SciELO

Estimation of optimal plot size for chickpea experiments using Bayesian approach with prior information

Heterogeneity among experimental units can introduce experimental errors, necessitating the use of techniques that enhance statistical inferences to address this issue. One effective approach is ...
Frontiers

Estimation of surface duct parameters using AIS data based on Bayesian inversion method

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, ...
CNBC

U.S. added just 73,000 jobs in July and numbers for prior months were revised much lower

Nonfarm payrolls growth totaled 73,000 for July, above the June total of 14,000 but below even the meager Dow Jones estimate for a gain of 100,000. June and May totals were revised sharply lower, down ...
Hosted on MSN

Did Fate or Probability Sink a PhD’s Yacht? — Dr. Lynch and the Bayesian Disaster

Dr. Grande's covers topics related to counselor education and supervision including but not limited to mental health, human behavior, relationship dynamics, psychopathology, personality theory, true ...
SciELO

AN EFFICIENT COUNT DATA MODEL: PROPERTIES, ACTUARIAL MEASURES, BAYESIAN ESTIMATION, REGRESSION MODEL, AND APPLICATIONS TO HEALTH CARE DATA

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 ...
Scientific Research Publishing

Bayesian Interval Estimation of the Prevalence Rate Using Pool Testing Strategy with Retesting ()

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

Bayesian Power and Error Estimation in Survival Trials Using BayesPPDSurv

We consider the high-risk melanoma trial design application in Psioda and Ibrahim (2019), and demonstrate how BayesPPDSurv can be used for coefficient estimation as ...