Bayesian pliable lasso for sparse interaction effects and missing data in GLMs
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Updated
Nov 30, 2025 - C++
Bayesian pliable lasso for sparse interaction effects and missing data in GLMs
GLM regression (logistic, linear, Poisson, Gamma, Tweedie, negative binomial, multinomial) in pure DuckDB SQL — fit, predict & evaluate as table macros, with ridge, offset/exposure & weights
Statistical analysis of the Los Angeles real estate market in form of assessed values and rental prices
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A comprehensive explanation of Generalized Linear Models (GLMs) with Python examples, covering Binomial, Gamma, and Gaussian families, model diagnostics, formula interface, and alternative estimation approaches using statsmodels.
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