JSTOR Daily

Multivariate Receptor Modeling for Temporally Correlated Data by Using MCMC

Multivariate receptor modeling aims to estimate pollution source profiles and the amounts of pollution based on a series of ambient concentrations of multiple chemical species over time. Air pollution ...
JSTOR Daily

Bayesian Spatial Multivariate Receptor Modeling for Multisite Multipollutant Data

For the development of effective air pollution control strategies, it is crucial to identify the sources that are the principal contributors to air pollution and estimate how much each source ...
CU Boulder News & Events

Modeling space-time variability using multivariate semi-Bayesian hierarchical framework for seasonal total and extreme precipitation in the U.S. Northern Great Plains

We adapt a semi-Bayesian hierarchical modeling framework to jointly characterize the space–time variability of seasonal precipitation totals and precipitation extremes across the Northern Great Plains ...
Insurancenewsnet.com

Findings from University of Melbourne in the Area of Actuarial Science Reported (A New Multivariate Zero-inflated Hurdle Model With Applications In Automobile Insurance ...

2022 JAN 27 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News-- A new study on Science - Actuarial Science is now available. According to news reporting out of Melbourne, ...
GEN

Taking the guesswork out of process development

Predictive modeling could revolutionize drug manufacturing by helping biopharma organizations achieve right-first-time scale-up,” says Tim Gardner, PhD, Founder and CEO of Riffyn. Biopharmaceutical ...
usace.army.mil

Pilot program assigns active duty Soldiers category using multivariate model

In the fall and winter of 2016, the Soldier for Life - Transition Assistance Program began a transition pilot program at six installations worldwide, including Fort Bragg, North Carolina; Fort Hood, ...