JSTOR Daily

A hierarchical Bayesian model to incorporate uncertainty into methods for diversity partitioning

Recently there have been major theoretical advances in the quantification and partitioning of diversity within and among communities, regions, and ecosystems. However, applying those advances to real ...
JSTOR Daily

A hierarchical Bayesian model for improving short-term forecasting of hospital demand by including meteorological information

This is a preview. Log in through your library . Abstract The effect of weather on health has been widely researched, and the ability to forecast meteorological events can offer valuable insights into ...
AlphaGalileo

Bayesian Spatial Modeling Enhances Precision of Forest Biomass Estimation

A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to ...
CU Boulder News & Events

Bayesian Hierarchical Network Model for Forecasting Daily River Stage in a River Network

A novel Bayesian Hierarchical Network Model (BHNM) is designed for ensemble predictions of daily river stage, leveraging the spatial interdependence of river networks and hydrometeorological variables ...
Scientific Research Publishing

Random Coefficient Modelling of the Global Effect of Exchange and Monetary Policy Rates on Inflation (2) ()

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...