Posts tagged linear regression

GLM-missing-values-in-covariates

• 09 November 2024
Jonathan Sedar
intermediate , reference
missing covariate values missing values auto-imputation linear regression bayesian workflow

Minimal Reproducible Example: Workflow to handle missing data in multiple covariates (numeric predictor features)

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Geocentric Models

• 07 January 2024
Dustin Stansbury
intermediate
statistical rethinking bayesian inference linear regression

This notebook is part of the PyMC port of the Statistical Rethinking 2023 lecture series by Richard McElreath.

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