BITESIZE | Why Your Models Might Be Wrong & How to Fix it, with Sean Pinkney & Adrian Seyboldt
Learning Bayesian Statistics
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Intro
This chapter explores the challenges of applying zero-sum constraints in regression models, especially with categorical covariates. The speakers provide practical insights on managing over-parameterization and adapting predictions, while referencing earlier episodes for foundational context.
Transcript
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