Bayesian pliable lasso for sparse interaction effects and missing data in GLMs
sparsity logistic-regression glm interaction gibbs-sampler missing-values poisson-regression horseshoe-prior gamma-regression
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gamma-regression
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Statistical analysis of the Los Angeles real estate market in form of assessed values and rental prices
range kappa nugget generalized-linear-models variograms generalized-estimating-equations gamma-regression box-cox-transformation krigging mixed-effects-gamma-regression spatial-statistical-analysis hovmoller-plots regression-krigging
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Artificial Intelligence -> Machine Learning (ML) -> Supervised Learning -> Regression -> Gamma Regression
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- Jupyter Notebook
Supervised Machine Learning algorithms for Regression in R and Python
python machine-learning r linear-regression glm log-linear-model negative-binomial-regression rmse poisson-regression gamma-regression
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- R
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.
cross-validation regression logistic-regression regularization glm predictive-modeling generalized-linear-models model-diagnostics statmodels gamma-regression robust-standard-error binomial-regression
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Medicare DeSYNPuf analysis Gamma regression cost modeling & risk adjustment, and multiple factor analysis exposing factors associated with health care spending
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- Jupyter Notebook
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