BOBE (Bayesian Optimation for Bayesian Evidence) is a package for Bayesian model selection with expensive likelihood functions, developed for applications to cosmology.
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Jun 29, 2026 - Python
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bayesian-model-selection
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Gaussian Processes for Cyclic Voltammetry
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Dec 5, 2020 - MATLAB
Materials from the graduate course on Generalized Linear Models at SFU in Spring 2020
bayesian bayesian-inference linear-models generalized-linear-models bayesian-model-averaging bayesian-model-selection
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Aug 16, 2020
Regularization, Bayesian Model Selection and k-fold Cross-Validation Selection
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Dec 27, 2019 - Python
cross-validation python3 model-selection regularization bayesian-linear-regression bayesian-model-selection
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Nov 5, 2019 - Python
A hands-on guide to model selection, emphasizing high-dimensional problems, Bayesian model selection and averaging, and L0 criteria
regression graphical-models bayesian-statistics generalized-linear-models generalized-additive-models bayesian-model-averaging accelerated-failure-time bayesian-model-selection l0-regularization
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Dec 5, 2025 - TeX
This is a group project on predicting painting prices that were sold from 1764 to 1780. Based on our analysis, we identify undervalued/overvalued paintings in the dataset.
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Sep 19, 2020 - HTML
SF-BMA: Bayesian Model Averaging and Selection for Stochastic Frontier Models. MATLAB package.
matlab efficiency econometrics monte-carlo-simulation stochastic-frontier-analysis sfa bayesian-model-averaging bma bayesian-model-selection bayesian-econometrics
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Jul 15, 2026 - MATLAB
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