A Bayesian hierarchical approach to regional frequency analysis

A Bayesian hierarchical approach to regional frequency analysis

A Bayesian Hierarchical Approach To Regional 1 Frequency Analysis

Regional Frequency Analysis (RFA) has a long history in Hy-3 drology, and numerous distinct approaches have been proposed over the year 4 to perform the estimation of some hydrologic quantity at a regional level. 5 However, most of these approaches still rely on strong hypotheses that may 6 limit their application and complicate the quantification of predictive un-7 certainty. The objective of ...

A Bayesian hierarchical approach to multirater correlated ROC analysis.

In a common ROC study design, several readers are asked to rate diagnostics of the same cases processed under different modalities. We describe a Bayesian hierarchical model that facilitates the analysis of this study design by explicitly modelling the three sources of variation inherent to it. In so doing, we achieve substantial reductions in the posterior uncertainty associated with estimates...

A Hierarchical Bayesian Approach

9 Atmospheric aerosols can cause serious damage to human health and life expectancy. Using the radiances observed by 10 NASA’s Multi-angle Imaging SpectroRadiometer (MISR), the current MISR operational algorithm retrieves Aerosol 11 Optical Depth (AOD) at 17.6 km resolution. A systematic study of aerosols and their impact on public health, espe12 cially in highly-populated urban areas, requires...

A regional Bayesian POT model for flood frequency analysis

Flood Frequency Analysis is usually based on the fitting of an extreme value distribution to the series of local streamflow. However, when the local data series is short, frequency analysis results become unreliable. Regional frequency analysis is a convenient way to reduce the estimation uncertainty. In this work, we propose a regional Bayesian model for short record length sites. This model i...