Bayesian nonparametric clustering of functional data.
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Updated
Oct 21, 2021 - R
Bayesian nonparametric clustering of functional data.
Instructed by : Prof. Manisha Pal. A repository created with the practical problems on Bayesian computing and some advance computing related to MCMC, Metropolis etc.
Bayesian Mixture Model applied to cluster analysis of breast tumours using MCMC.
R implementation of the Dirichlet Process Gaussian Mixture Model (with MCMC)
Sample points on a disk with radius r that no two points is closer to each other than d
Using a bayesian hierarchical model to predict the school effective index
Rmarkdowns with code & commentary on implementing my first gibbs sampler.
Solutions for Biology Meets Programming: Bioinformatics for Begineers course in Coursera
Reconstructing a black and white Japanese woodblock print using Bayesian inference
The inspections on some important literatures, mainly including codes.
R package bayessource: marginal likelihood and Bayes Factor computation for samples from Multivariate Gaussians
Laboratory works on the Consistency Constraint Recognition course. Contains black and white image denoising with maximal flow algorithm and grayscale image denoising with an alpha-expansion algorithm
Approximate Bayesian inference for mixed effects models with heterogeneity
Libary for SGPD (Sigmoidal Gaussian Process Density) inference
Here you can find several cpp projects i've done while im learning this programming language.
Bayesian Regression Analyses from scratch - NBA data example
Statistical Recognition Methods home tasks
A fun package for exploring conjugate models and gibbs samplers.
Labs for University course
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