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Articles · Rebeauty Atlas

HUM AI SCI

FA Fabio Sigrist · Data Science Collective

Quantile Regression with Mixed-Effects Models in Python and R

Scalable quantile regression with grouped random effects using GPBoost

Jun 24, 2026 · 5 min read · 51 claps #mixed-effects #random-effects #quantile-regression

Quantile Regression with Mixed-Effects Models in Python and R

PR Preeti Manchanda

Hierarchical and mixed-effects models in R

What is a hierarchical model?

Aug 03, 2025 · 11 min read · 0 claps #hierarchical-clustering #mixed-effects #rstudio

Hierarchical and mixed-effects models in R

AI

SA Sae-Hwan Park

The Other Path: Population-Average Models and GEE

When we need population-level insights without the distributional baggage of random effects

Jun 27, 2025 · 14 min read · 0 claps #population-average #gee #mixed-effects

The Other Path: Population-Average Models and GEE

ECO AI MKT SCI

PR Prateek Nigam

The Bayesian Maze: Unlocking the Power of Hierarchical Bayesian Regression (Part 1)

Navigating Multi-Level Regression in Market Mix Modeling

Jun 19, 2024 · 5 min read · 12 claps #market-mix-model #bayesian-statistics #mixed-effects

The Bayesian Maze: Unlocking the Power of Hierarchical Bayesian Regression (Part 1)

SPT AI HUM

TI Tim Sheehan

Parameterizing umpire biases using MLB Statcast data. Part 2.

In a previous post, I described how the size of the strike zone changes as a function of the count in the current at-bat. This was achieved…

May 08, 2024 · 4 min read · 0 claps #baseball #umpire #logistic-regression

Parameterizing umpire biases using MLB Statcast data. Part 2.

AI

RT R Train Data

Linear Mixed Effect Models in python using mtcars

Linear Mixed-Effect Models are statistical models that extend the linear regression model to account for both fixed effects and random…

Mar 03, 2024 · 12 min read · 27 claps #python #mixed-effects

Linear Mixed Effect Models in python using mtcars

AI

RT R Train Data

Linear Mixed Effect Models in R using mtcars

Linear Mixed-Effect Models are statistical models that extend the linear regression model to account for both fixed effects and random…

Feb 18, 2024 · 10 min read · 17 claps #mixed-effects #linear-regression

Linear Mixed Effect Models in R using mtcars

AI

DO Dorian Drost · TDS Archive

Multilevel Regression Models and Simpson’s paradox

Avoiding false conclusions with the proper tooling

Aug 08, 2023 · 9 min read · 187 claps #regression-analysis #linear-regression #mixed-effects

Multilevel Regression Models and Simpson’s paradox

HUM AI SCI

SI siddharth ranjan

Step by step on how to perform Mixed Effect Modelling using Python

Introduction

Mar 19, 2023 · 4 min read · 43 claps #machine-learning #regression #mixed-effects

Step by step on how to perform Mixed Effect Modelling using Python

FA Fabio Sigrist · TDS Archive

Generalized Linear Mixed Effects Models in R and Python with GPBoost

An introduction and comparison with ‘lme4’ and ‘statsmodels’

Jun 22, 2021 · 7 min read · 84 claps #mixed-effects #generalized-linear-model #computational-complexity