GitHub

Bayesian Hierarchical Model for Pitch-Level Expected Run Value

A Bayesian hierarchical regression that estimates the expected run value of every pitch thrown in the 2025 MLB season, using Statcast tracking data from Baseball Savant. The model produces posterior ...
GitHub

Create probpipe-benchmark: heavy inference benchmark suite (separate repo) #302

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
The Lancet

Ipsilateral and contralateral coadministration of influenza and COVID-19 vaccines produce similar antibody responses

cDivision of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Tokyo 108-0071, Japan dDepartment of Special Pathogens, International Research ...
Frontiers

Bayesian outcome-specific ensemble modeling for football outcome prediction

First, Bayesian outcome-specific ensemble with outcome-specific sub-models provides a flexible framework for multi-class prediction, allowing specialized models to capture distinct outcome-generating ...
BNP Paribas

Data Scientist (Quant Research) - GM Data & AI Lab

3. Knowledge of Monte Carlo Simulations, Bayesian modelling & Causal Inference. 4. Experience with Machine Learning & Deep Learning concepts including data representations, neural network ...