Pymc

Bayesian hierarchical model to analyze route setter bias in climbing grades. Uses PyMC to estimate ’true’ difficulty accounting for setter variations.

Flexible non-linear regression using cubic spline basis functions. Bayesian approach with PyMC for smooth curve fitting and uncertainty quantification.

Part 2: Applying EM algorithm to censored linear regression. Handle missing data and truncated observations in statistical modeling.