JSTOR Daily

A Bayesian Approach to Regional Decadal Predictability: Sparse Parameter Estimation in High-Dimensional Linear Inverse Models of High-Latitude Sea Surface Temperature Variability

Stochastic reduced models are an important tool in climate systems whose many spatial and temporal scales cannot be fully discretized or underlying physics may not be fully accounted for. One form of ...
JSTOR Daily

Bayesian Linear Size-and-Shape Regression with Applications to Face Data

Vol. 81, No. 1, Special issue Statistics on non-Euclidean Spaces and Manifolds (February 2019), pp. 83-103 (21 pages) Regression models for size-and-shape analysis are developed, where the model is ...
pv magazine International

Hybrid PPA model improves PV-BESS bankability, say researchers

Researchers have modeled a hybrid financing scheme combining contracted and merchant components to improve the bankability of PV-battery energy storage system (PV-BESS) assets, using a Bayesian LSTM ...
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 ...