Personal Website with Blogposts, Achievements and Ideas
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Updated
Jun 9, 2024 - HTML
Personal Website with Blogposts, Achievements and Ideas
Code for Bayesian Analysis
Implementation of normalising flows and constrained random variable transformations
The Python ensemble sampling toolkit for affine-invariant MCMC
pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
We propose a particle MCMC sampler to learn the kinetic parameters of a chemical system, specifically the adsorption and desorption of CO on Pd(111).
Code and data to reproduce "A Bayesian latent variable model for the optimal identification of disease incidence rates given information constraints"
Sandia Uncertainty Quantification Toolkit
Python package implementing ideal and shrinkage-based geodesic slice samplers defined on the n-sphere.
Blang's software development kit
R Package Providing Ensemble Sampler for Affine-Invariant MCMC
Ensemble Data Assimilation Modules
Aplicação do Algoritmo proposto em https://doi.org/10.1214/21-BA1294 em misturas de regressão t de Student assimétricas.
⚡️ zeus: Lightning Fast MCMC ⚡️
Data Science Blog
Parallel Bayesian inference for decomposable graphical models.
Sam is a flexible MCMC sampler for Python, designed for astrophysical applications.
Sandbox repo for Bayesian statistics and modeling
Instructed by : Prof. Manisha Pal. A repository created with the practical problems on Bayesian computing and some advance computing related to MCMC, Metropolis etc.
Portfolio credit risk modeling
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