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 ...
JSTOR Daily

A Bayesian Hierarchical Model for Photometric Red Shifts

This is a preview. Log in through your library . Abstract The Sloan digital sky survey is an extremely large astronomical survey that is conducted with the intention of mapping more than a quarter of ...
JSTOR Daily

A Bayesian Hierarchical Model for Prediction of Latent Health States from Multiple Data Sources with Application to Active Surveillance of Prostate Cancer

This is a preview. Log in through your library . Abstract In this article, we present a Bayesian hierarchical model for predicting a latent health state from longitudinal clinical measurements. Model ...
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 ...
Case Western Reserve University

PQHS 501 Seminar. mist: A Hierarchical Bayesian Framework for Modeling DNA Methylation Dynamics and Detecting Differential Methylation in Single-Cell Data

January 17th 9:30 AM - 10:30 AM ...