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 ...
Abstract: This research study reviews the statistical fundamentals of machine learning with a focus on Bayesian methods to quantify the uncertainty in model predictions. Bayesian statistics provides a ...
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 ...
Discover the BGM Model's role in pricing interest rate derivatives using LIBOR rates. Learn its applications, advantages, and insights for swaptions and caplets.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results