IEEE

A Physics-Guided Bayesian Neural Network for Sensor Fault Detection in Wind Turbines

Abstract: Predictive maintenance is essential for ensuring the reliability and efficiency of wind energy systems. Traditional deep learning models for sensor fault detection rely solely on data-driven ...
IEEE

Generalized Transitional Markov Chain Monte Carlo Sampling Technique for Bayesian Inversion of Electromagnetic Data

Abstract: In the context of Bayesian inversion for scientific and engineering modeling, Markov chain Monte Carlo (MCMC) sampling strategies have become the benchmark due to their flexibility and ...
GitHub

perryzjc/obsidian-tikz-advanced

For a quick introduction to installing and using the plugin, see the Quick Start Guide.
Scientific Research Publishing

Gelman, A., Carlin, J.B., Stern, H.S., Dunson, D.B., Vehtari, A. and Rubin, D.B. (2013) Bayesian Data Analysis. 3rd Edition, Chapman & Hall/CRC.

ABSTRACT: 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 ...
Washington Examiner

The Baseball Hall of Fame’s permanent Barry Bonds problem

Around the turn of the new millennium, the San Francisco Giants fielded an all-time great baseball player who was so good that fans would buy tickets just to see him play. He would accomplish feats ...
SCOTUSblog

The Interim Docket and the "Annie Hall" Problem

I’m excited to be part of the team kicking off the new Interim Docket Blog. For those who are new to tracking the Supreme Court’s work on the “interim docket,” you should read Jack’s inaugural post ...