Implementing MCMC sampling from scratch in R for various Bayesian models
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Dec 7, 2023 - HTML
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bayesian-linear-regression
Here are 29 public repositories matching this topic...
Markov Chain Monte Carlo (MCMC) and importance sampling in the context of Bayesian linear regression
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Feb 25, 2018 - Jupyter Notebook
NTHU EE6550 Machine Learning Course Projects (include Maximum A Posteriori Estimation, Linear Regression, Neural Network Image Classification)
machine-learning neural-network image-classification nthu maximum-a-posteriori-estimation bayesian-linear-regression
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Sep 7, 2025 - Jupyter Notebook
End-to-end Bayesian linear regression pipeline: conjugate baselines + non-conjugate priors, adaptive Metropolis-within-Gibbs, and rigorous diagnostics (R-hat/ESS/MCSE) with posterior predictive checks for salary modeling.
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Aug 20, 2026 - Python
This project explores data analysis, blending core Probability Theory and Descriptive Statistics with Statistical Inference and Bayesian Machine Learning (Regression/Classification). It concludes with a comparative study of Frequentist vs. Bayesian A/B Testing.
statistics probability bayesian-methods confidence-intervals ab-testing bayesian-inference hypothesis-testing resampling-methods bayesian-linear-regression inference-statistic-analysis bayesian-naive
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Jul 6, 2026 - Jupyter Notebook
Bigmart Sales Analysis prediction of the sales, data set from https://datahack.analyticsvidhya.com/contest/practice-problem-big-mart-sales-iii/
linear-regression bayesian-inference bayesian-linear-regression sales-prediction bigmart-sales-prediction
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Jan 30, 2021 - Python
Bayesian Linear regression using MCMC and Variational Inference
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Aug 29, 2017 - Python
Coresets for scalable robust pseudo-Bayesian inference
bayesian-inference outlier-removal bayesian-linear-regression coreset beta-divergence robust-inference neural-linear bayesian-logi
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Oct 4, 2023 - Python
Sklearn wrapper for Bayesian Probabilistic Matrix Completion with Macau, Smurff, and Bayesian linear regression
matrix-factorization bayesian-inference matrix-completion macau bayesian-linear-regression sklearn-wrapper smurff
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Oct 21, 2022 - Python
Summer Research Internship Tasks
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Apr 10, 2022 - Jupyter Notebook
Entraînement de modèles Bayésiens et analyse de robustesse.
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Jun 29, 2020 - Jupyter Notebook
Artificial Intelligence -> Machine Learning (ML) -> Supervised Learning -> Regression -> Bayesian Linear Regression, Bayesian Ridge Regression, Empirical Bayes Regression
regression supervised-learning bayesian-linear-regression bayesian-ridge-regression empirical-bayes-regression
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Jan 27, 2026 - Jupyter Notebook
Ensembled Deep Network for Global Optimization
neural-network hyperparameter-optimization gaussian-processes bayesian-optimization bayesian-linear-regression
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Jan 2, 2019 - Jupyter Notebook
Bayesian linear and Gaussian process regression to predict CO2 concentration as a function of time
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Feb 14, 2017 - MATLAB
Bayesian uncertainty, calibration, and hallucination-risk modeling for reliable language and multimodal AI.
machine-learning mcmc gibbs-sampling boston-housing-dataset bayesian-linear-regression bayesian-modeling posterior-inference robust-prediction
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Sep 9, 2026 - Python
🤖 Explore and optimize rewards with Bandexa, a PyTorch-native library for Neural-Linear Thompson Sampling in contextual bandits.
python pytorch thompson-sampling experimentation multi-armed-bandits online-learning contextual-bandits bayesian-linear-regression bandit-algorithms replay-buffer exploration-exploitation neural-linear two-tower
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Sep 10, 2026 - Python
Machine Learning Projects on Linear Regression, Classification and Multi-layer Perceptrons, and Gaussian Processes and SVMs (October, 2019).
machine-learning linear-regression classification logistic-regression support-vector-machines gaussian-processes multi-layer-perceptron bayesian-linear-regression
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Jul 11, 2022 - Jupyter Notebook
My implementation of homework 2 for the Machine Learning class in NCTU (course number 5088).
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Nov 21, 2017 - Python
Model Comparison of 2-Component Mixture, 3-Component Mixture, and Bayesian Linear Regression with MCMC Sampling
data-science r statistics linear-regression exploratory-data-analysis data-analysis bayesian-inference stan mcmc mcmc-sampler bayesian-linear-regression multimodal
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Jul 23, 2019 - R
Mini-course for Elizabeth Liu
logistic-regression gradient-descent kernel-methods gaussian-processes bayesian-optimization hamiltonian-monte-carlo bayesian-linear-regression eigendecomposition metropolis-algorithm random-fourier-features taylor-approximation nystrom-method laplace-method bayesian-marginalization bayesian-kernel-regression
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Jan 8, 2025 - Jupyter Notebook
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