3D method can accurately measure gravity in wide binary stars, as demonstrated by pilot study

Since the third Gaia data release in 2022, wide binary stars with separation greater than several thousand astronomical units ...
University of Innsbruck

DiSCourse Seminar with Sebastian Grandis

DiSCourse - The Digital Science Seminar Series on: Data Science in Cosmology ...
PharmExec

The Next Generation of Trial Designs: Supplementing Trials with Real-World Data

Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...
GitHub

causal-inference-k2-algorithm

Bayesian network structure learning using hybrid K2 search and hill climbing optimization. Discovers causal relationships in observational data across datasets with 8-50 variables and up to 10K ...
eLife

Virtual Brain Inference (VBI): A flexible and integrative toolkit for efficient ...

This paper presents a valuable software package, named "Virtual Brain Inference" (VBI), that enables faster and more efficient inference of parameters in dynamical system models of whole-brain ...
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 ...
Scientific Research Publishing

Hill, J.L. (2011) Bayesian Nonparametric Modeling for Causal Inference.

ABSTRACT: This study investigates the persistent academic impacts of the Head Start program, a federal government-funded early childhood intervention, using data from the Early Childhood Longitudinal ...
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 ...