Understanding Multivariate Models: Forecasting Investment Outcomes

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...
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 ...