Explore Key Statistical & Probabilistic Model Articles – A Curated Guide

To facilitate students' access to different categories of models, this page categorizes and aggregates recent model articles, focusing on statistical and probabilistic models.

1. Statistical Models

1.1 Clustering Analysis

Model Statistical 01 – Similarity Measures for Clustering

Model Statistical 02 – Hierarchical Clustering

Model Statistical 03 – Variable Clustering

Model Statistical 04 – K-Means Method

1.2 Linear Regression

Model Statistical 05 – Linear Regression

Model Statistical 05 – Concept of Multiple Linear Regression

Linear Regression – Multicollinearity

Statistical Model 08 – Ridge Regression

Statistical Model 09 – Lasso Regression

Model Statistical 13 – Solving Linear Regression with scikit-learn

Model Statistical 06 – Solving Multiple Linear Regression in Python

Model Statistical 16 – Key Concepts of Regression Models

1.3 Causal Analysis

Model Statistical 17 – Introduction to Causal Relationships

Model Statistical 18 – Causal Relationships – Random Experiments

Model Statistical 19 – Causal Relationships – The Most Dangerous Formula

Model Statistical 20 – Causal Relationships – Causal Graph Models

Model Statistical 22 – Causal Relationships – Grouping and Dummy Variables

Model Statistical 23 – Causal Relationships – Controlling for Confounding Factors

More model articles are being added continuously; stay tuned.