JSTOR Daily

Small area forecasts of cause-specific mortality: application of a Bayesian hierarchical model to US vital registration data

This is a preview. Log in through your library . Abstract Mortality forecasts are typically limited in that they pertain only to national death rates, predict only all-cause mortality or do not ...
AlphaGalileo

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

Space weather can disrupt satellite navigation and communication systems by triggering rapid fluctuations in the ionosphere.
JSTOR Daily

Estimates of age-specific reductions in HIV prevalence in Uganda: Bayesian melding estimation and probabilistic population forecast with an HIV-enabled cohort component ...

BACKGROUND Much of our knowledge of the epidemiology and demography of HIV epidemics in Africa is derived from models fit to sparse, non-representative data. These often average over age and other ...

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 ...