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Three Methods for Robust Variable Selection: BMA, LASSO, and WALS

Three principled approaches to variable selection---BMA, LASSO, and WALS---applied to synthetic cross-country CO2 emissions data with known ground truth, demonstrating methodological triangulation for robust inference.

Introduction to PCA Analysis for Building Development Indicators

Building a composite Health Index from Life Expectancy and Infant Mortality using manual PCA with simulated data for 50 countries, then verifying against scikit-learn

Pooled PCA for Building Development Indicators Across Time

Building a comparable Human Development Index across two time periods using pooled PCA with real sub-national data for 153 South American regions, and contrasting with per-period PCA to show why pooled standardization is essential for temporal comparisons

Our World in Data

What is the relation between internet usage and democracy?