szcf-weiya / MonteCarloLinks
Notes for Monte Carlo and implementations of algorithms in Julia, R or python.
☆38Updated 4 years ago
Alternatives and similar repositories for MonteCarlo
Users that are interested in MonteCarlo are comparing it to the libraries listed below
Sorting:
- Short course on dimension reduction for AMSI☆35Updated 2 years ago
- Files for StanCon 2023 tutorial.☆17Updated last year
- R package for Bayesian model averaging☆40Updated 6 months ago
- Convex optimization for statistics and machine learning☆24Updated 2 weeks ago
- Home for the book-in-progress 'Bayesian Learning'☆28Updated 2 months ago
- A fast and flexible Python package for efficiently solving lasso, elastic net, group lasso, and group elastic net problems.☆52Updated 3 months ago
- Materials for StanCon 2023☆24Updated last year
- Faster estimation of Bayesian models in ecology using Hamiltonian Monte Carlo☆15Updated 8 years ago
- Provides a number of methods for creating and augmenting Latin Hypercube Samples and Orthogonal Array Latin Hypercube Samples☆49Updated last year
- Programming of Simulation, Analysis, and Learning Systems Course Materials☆35Updated last week
- Bayesian sparse regression with regularized shrinkage and conjugate gradient acceleration☆21Updated 2 months ago
- Efficient Algorithms for L0 Regularized Learning☆102Updated last year
- Bayesian Learning course at Stockholm University☆155Updated 2 weeks ago
- Computational Statistics and Statistical Computing☆37Updated 4 years ago
- A quarto notebook introducing Stan in Python (and maybe R).☆30Updated 2 years ago
- Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space☆14Updated 2 years ago
- StatististicalRethinking notebook project using Stan and Pluto notebooks.☆20Updated last year
- ☆14Updated 2 years ago
- Machine Learning, 7.5 credits, a course that I have previously given at Department of Statistics at Stockholm University.☆17Updated last year
- Bayesian Inference of State Space Models☆46Updated 11 months ago
- R package that provides an implementation of the generic adaptive Monte Carlo Markov chain sampler proposed by Vihola (2011).☆10Updated last year
- Endo A. et al., "Introduction to the particle Markov-chain Monte Carlo." Epidemics, 2019.☆12Updated 3 years ago
- Towards a more flexible BART☆22Updated last week
- Materials for a workshop on Julia programming at UW-Madison Statistics Dept. in June 2014☆31Updated 6 years ago
- DEPRECATED IN FAVOR OF TuringLang/Turing-Workshop☆35Updated 3 years ago
- Rcpp Example for accessing NLopt☆14Updated 2 months ago
- Disciplined Convex Programming in R using Convex.jl.☆14Updated 6 years ago
- ACoP10 workshop: Introduction to Bayesian PMX using NONMEM☆13Updated 5 years ago
- A complete environment for Bayesian inference within R☆93Updated last year
- R-package for building and fitting Bayesian ODE models in Stan☆28Updated 10 months ago