Statistics
6 posts
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Bayesian climbing grades
Bayesian hierarchical model to analyze route setter bias in climbing grades. Uses PyMC to estimate 'true' difficulty accounting for setter variations.
- bayesian
- climbing
- pymc
- statistics
- hierarchical-modeling
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Bivariate Poisson Regression with Expectation-Maximisation
Modeling correlated count data using bivariate Poisson regression with EM algorithm. Handle overdispersion and correlation in count models.
- poisson
- regression
- em-algorithm
- statistics
- python
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Cubic Spline Expansions with Logistic Regression
Flexible non-linear regression using cubic spline basis functions. Bayesian approach with PyMC for smooth curve fitting and uncertainty quantification.
- splines
- regression
- bayesian
- pymc
- statistics
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Quantile Regression
Quantile regression for uncertainty estimation beyond the mean. PyTorch implementation for predicting conditional quantiles.
- quantile
- regression
- statistics
- machine-learning
- pytorch
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The EM Algorithm Part 2: Censored Linear Regression
Part 2: Applying EM algorithm to censored linear regression. Handle missing data and truncated observations in statistical modeling.
- em-algorithm
- regression
- censored-data
- statistics
- pymc
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The EM Algorithm Part 1: Gaussian Mixture Models
Part 1: Introduction to EM algorithm with Gaussian Mixture Models. Learn expectation-maximization for unsupervised clustering and density estimation.
- em-algorithm
- gaussian-mixture
- clustering
- statistics
- python