IEEE

High-Dimension Bayesian Parameter Estimation for WECC Composite Load Model Using Realistic Event Measurements

Abstract: Calibration of the composite load model with distributed generation (CMPLDWG) can be challenging due to its nonlinear and high-dimensional characteristics. To address this issue, this paper ...
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 ...

BGM Model: Understanding and Utilizing the LIBOR Market Model

Discover the BGM Model's role in pricing interest rate derivatives using LIBOR rates. Learn its applications, advantages, and insights for swaptions and caplets.
IEEE

Fast Robust Sparse Bayesian Learning Image Reconstruction Model Based on Generalized Approximate Message Passing

Abstract: Sparse Bayesian learning (SBL) is an algorithm for high-dimensional data processing based on Bayesian statistical theory. Its goal is to improve the generalization ability and efficiency of ...
BMJ Open

Spatiotemporal patterns of asthma in Bhutan: a Bayesian analysis

Introduction Asthma is a chronic respiratory disorder requiring ongoing medical management. This ecological study ...
Medical Xpress

Model helps explain how context-dependent behavior occurs

How animals may modify their behavior depending on their context has been modeled mathematically by two RIKEN neuroscientists. Their simple but biologically plausible model could shed light on mental ...