jsalvatier / multichain_mcmcLinks
Multichain MCMC framework and algorithms based on PyMC.
☆17Updated 14 years ago
Alternatives and similar repositories for multichain_mcmc
Users that are interested in multichain_mcmc are comparing it to the libraries listed below
Sorting:
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- A simple MCMC framework for training Gaussian processes adding functionality to GPy.☆21Updated 10 years ago
- C++ code for a reversible jump Markov chain Monte Carlo algorithm to sample changepoints☆16Updated 6 years ago
- Probabilistic multi-sensor geophysical inversions on clusters☆10Updated 7 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Gaussian Process Random Fields☆21Updated 9 years ago
- Script for plotting / visualizing three dimensional arrays.☆25Updated 10 years ago
- An implementation of the Goodman & Weare MCMC sampler for matlab☆52Updated 6 years ago
- This is GUI for High Perfomance Geostatistics Library☆24Updated 8 years ago
- Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.☆37Updated 11 years ago
- Matlab library of data assimilation methods☆18Updated 9 years ago
- Hamiltonain Monte Carlo in Python☆40Updated 5 years ago
- Tutorials for Sensitivity Analysis using SALib☆34Updated 2 months ago
- Frequency and time-frequency analysis for irregularly sampled time series☆23Updated 6 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- C++ & R code for Markov Chain Monte Carlo estimation (Gibbs sampling, MH random walk, various flavors of adaptive MCMC, etc), and functio…☆15Updated 4 years ago
- Hill Shading implementation for Matplotlib☆11Updated 10 years ago
- Multiple linear regression from Statsmodels library coupled with Xarray library☆14Updated 5 years ago
- Scientific Computing☆51Updated 5 years ago
- Bayesian Data Analysis demos for Matlab/Octave☆63Updated 5 years ago
- Code for AutoGP☆26Updated 5 years ago
- Routines for using CUDA to perform MCMC Sampling of Hierarchical Models with GPUs.☆16Updated 8 years ago
- Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.☆40Updated 5 years ago
- A ternary plot, in Python, written originally for soil texture representation.☆14Updated 4 years ago
- sparse dynamic mode decomposition in python☆37Updated 9 years ago
- Open Data Science☆33Updated 5 months ago
- A collection of Gaussian process models☆30Updated 7 years ago
- QUESO is a C++ library for doing uncertainty quantification. QUESO stands for Quantification of Uncertainty for Estimation, Simulation a…☆60Updated 5 years ago
- My numpy / scipy / iPython tutorials☆43Updated 9 years ago
- Conventionally parameterized probability distributions☆35Updated 8 months ago