GitHub

Roysubh/-Building-Footprint-Mapping-from-Hyperspectral-Imagery-Using-Point-Based-RandomForest-in-Python

R² Score 0.9938 Indicates how well the model explains variance in the data (closer to 1 is better). RMSE 0.0394 Root Mean Squared Error — measures average ...
GitHub

Random-Forest-Based-Land-Cover-Classification-Using-Sentinel-2-Remote-Sensing-Data-in-Python

This repository demonstrates a complete land cover classification pipeline using Sentinel-2 multispectral imagery and a Random Forest machine learning model in Python. The workflow includes ...
Pew Research Center

Using fixed and random effects models for panel data in Python

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Identifying causal relationships from observational data is not easy. Still, ...
JSTOR Daily

Stochastic Monotonicity and Slepian-Type Inequalities for Infinitely Divisible and Stable Random Vectors

We study the relation between stochastic domination of an infinitely divisible random vector X by another infinitely divisible random vector Y and their corresponding Lévy measures. The results are ...