PharmExec

Bringing the Bayesian Method to Clinical Trials: Q&A with Dr. Stacy Lindborg

In the announcement, FDA Commissioner Mackary said, “Bayesian methodologies help address two of the biggest problems of drug ...
InfoQ

Google Researchers Propose Bayesian Teaching Method for Large Language Models

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Andrew Harmel-Law and a panel of expert ...
IEEE

Flow Matching Bayesian Inference for Permeability Field Inversion

We consider stochastic inverse problems with expensive forward models (e.g., PDE/ODE solvers). We propose a transformer-parameterized Conditional Flow Matching (CFM) that learns a time-dependent ...
GitHub

Does DoWhy support inference and variable manipulation on hybrid network? How to write this simple example

I did not find an example using DoWhy to do inference and variable manipulation on a hybrid network, which has both categorical and continuous variables. I tried the ...
GitHub

psoerensen/bayesian-linear-regression

This repository includes theoretical notes, slides, and hands-on R examples for exploring Bayesian Linear Regression. It introduces both classical and Bayesian regression methods, showing how to ...
C&EN

Bayesian Inference of Binding Kinetics from Fluorescence Time Series

Department of Physics, Arizona State University, Tempe, Arizona 85281, United States Center for Biological Physics, Arizona State University, Tempe, Arizona 85281, United States College of Medical and ...
IEEE

A Variational Bayesian Inference-Based Robust Dissimilarity Analytics Model for Industrial Fault Detection

Abstract: Due to various reasons, outliers, ambient noise and missing data inevitably exist in the industrial processes, and thus the robustness is important when establishing monitoring models. In ...
eeworldonline

What are the mathematics that enable sensor fusion?

The mathematics that enable sensor fusion include probabilistic modeling and statistical estimation using Bayesian inference and techniques like particle filters, Kalman filters, and α-β-γ filters, ...