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Copying 'Introduction to Data Analysis with Bayesian Statistical Modeling' in Python and Stan - Vol. 15 Logistic Regression Model

This article is a Python copying activity record of Chapter 9, Part 3: 'Logistic Regression Model' from the book 'Introduction to Data Analysis with Bayesian Statistical Modeling using R and Stan'.
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 ...
LinkedIn

Bayesian Deep Learning for Uncertainty and Risk Management

It often starts with one simple algorithm: 📌 Linear Regression Linear Regression is one of the most fundamental algorithms in Supervised Learning. It is used to predict numerical values by ...
GitHub

sasit622/Air-Quality-Prediction

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

NbBayesLM: bayesian prediction of nanobody thermostability using protein language model

The higher Spearman correlation particularly indicates that the Bayesian model better captures non-linear relationships inherent in protein stability data. These comprehensive improvements across ...