Implementing MCMC sampling from scratch in R for various Bayesian models
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Updated
Dec 7, 2023 - HTML
Implementing MCMC sampling from scratch in R for various Bayesian models
Bayesian Linear regression using MCMC and Variational Inference
Sklearn wrapper for Bayesian Probabilistic Matrix Completion with Macau, Smurff, and Bayesian linear regression
Markov Chain Monte Carlo (MCMC) and importance sampling in the context of Bayesian linear regression
Repo for course CSC2558: "Intelligent Adaptive Interventions" project in nonstationary contextual bandits.
Model Comparison of 2-Component Mixture, 3-Component Mixture, and Bayesian Linear Regression with MCMC Sampling
code for performing Bayesian ARD regression, where covariates have groups
Ensembled Deep Network for Global Optimization
Summer Research Internship Tasks
Bayesian linear and Gaussian process regression to predict CO2 concentration as a function of time
My personal repository for Statistical Thinking course assignments, 8th semester, Computer Science Engineering.
Coresets for scalable robust pseudo-Bayesian inference
My implementation of homework 2 for the Machine Learning class in NCTU (course number 5088).
Machine Learning Projects on Linear Regression, Classification and Multi-layer Perceptrons, and Gaussian Processes and SVMs (October, 2019).
Comparing frequentist linear regression with bayesian linear regression of a lying experiment
Comparison of different regression and classification algorithms on different datasets.
Entraînement de modèles Bayésiens et analyse de robustesse.
2022 NTHU EE6550 (EE655000) Machine Learning Course Projects (include Maximum A Posteriori Estimation, Linear Regression, Neural Network Image Classification)
Bigmart Sales Analysis prediction of the sales, data set from https://datahack.analyticsvidhya.com/contest/practice-problem-big-mart-sales-iii/
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