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 ...
JSTOR Daily

A Multivariate Model of Plant Species Richness in Forested Systems: Old-Growth Montane Forests with a Long History of Fire

Recently, efforts to develop multivariate models of plant species richness have been extended to include systems where trees play important roles as overstory elements mediating the influences of ...
Risk

Modeling multivariate operational losses via copula-based distributions with g-and-h marginals

We propose a family of copula-based multivariate distributions with g-and-h marginals. After studying the properties of the distribution, we develop a two-step estimation strategy and analyze via ...
Healio

Multivariate model accurately predicted mortality risk in HF patients in the ED

Please provide your email address to receive an email when new articles are posted on . A model incorporating routinely collected variables accurately predicted 7-day mortality risk in HF patients ...
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 ...
Risk

A multivariate model for hybrid wind–photovoltaic power production with energy portfolio optimization

Generation of renewable energy is destined to grow further, motivated, for example, by the Paris Agreement, aimed at reducing the production of greenhouse gases. In particular, hybrid production ...