Predicting extreme rainfall through novel spatial modeling

Japan is an archipelago with diverse climate zones and complex topography that is prone to heavy rain and flooding. Add the ...

The Bayesian challenge: complexity that pays off

Bayesian statistical models could help address recruitment challenges, but experts agree that sponsors must first understand – and be prepared - for the additional work required to implement them ...

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 ...
Morningstar

Professor Sarfaraz Niazi's Scientific Framework Adopted as FDA Modernizes Clinical Trial Evaluation Through Bayesian Methods

WASHINGTON, Jan. 20, 2026 /PRNewswire/ -- The U.S. Food and Drug Administration (FDA) has issued new draft guidance modernizing statistical methodologies used in clinical trials, formally recognizing ...
Frontiers

A guide to bayesian networks software for structure and parameter learning, with a focus on causal discovery tools

A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool ...
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 ...
IEEE

Interacting Multiple Model-Based Moving Horizon Estimation With Variational Bayesian

Abstract: Moving Horizon Estimation (MHE) is widely used for state estimation due to its ability to effectively incorporate historical information. As a single-model approach, its accuracy depends not ...
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 ...