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'.

Autism affects approximately 1–2% of the global population and is characterized by atypical social interaction and communication, restricted interests, repetitive behaviors and sensory processing ...

This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...

Bayesian statistics, on the other hand, combines observed data with prior knowledge to 𝐛𝐮𝐢𝐥𝐝 𝐚 𝐦𝐨𝐝𝐞𝐥 𝐭𝐡𝐚𝐭 𝐛𝐞𝐭𝐭𝐞𝐫 𝐫𝐞𝐟𝐥𝐞𝐜𝐭𝐬 𝐰𝐡𝐚𝐭 𝐰𝐞 𝐚𝐥𝐫𝐞𝐚𝐝𝐲 𝐤𝐧𝐨𝐰 𝐚𝐛𝐨𝐮𝐭 ...

When modelling the impact of events that have never happened before, historical data fails us. No time series can tell you what happens when the Strait of Hormuz — through which 20% of the world's oil ...

This repository contains my solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert. Each chapter of the book has its corresponding folder in this ...

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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 ...

The deterministic fusion MLP (hidden widths 724 → 362 → 180; 607,844 parameters) is configured with reduced parameters compared to Bayesian counterpart (723,972 parameters) corresponding to an ...