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#109 Prior Sensitivity Analysis, Overfitting & Model Selection, with Sonja Winter

Learning Bayesian Statistics

NOTE

Embrace Simplicity to Avoid Overfitting

Recognizing the challenges in detecting overfitting in model modifications, researchers should prioritize developing new detection methods. Relying on indices that may not effectively indicate overfitting necessitates a fresh approach. An actionable strategy involves comparing multiple models rather than focusing solely on one, as this can clarify which model is more accurate. Starting with a basic linear regression as a comparison can enhance understanding and guide more complex modeling efforts, allowing researchers to effectively build upon foundational concepts.

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