cdrovandi / Bayesian-Synthetic-LikelihoodLinks
Code for the Bayesian Synthetic Likelihood paper by Price et al 2018 in the Journal of Computational and Graphical Statistics (volume 27, issue 1, pages 1-11)
☆14Updated 7 years ago
Alternatives and similar repositories for Bayesian-Synthetic-Likelihood
Users that are interested in Bayesian-Synthetic-Likelihood are comparing it to the libraries listed below
Sorting:
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆77Updated last year
- Unbiased Markov chain Monte Carlo with couplings☆30Updated 3 years ago
- Code for AutoGP☆27Updated 6 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 5 years ago
- Generalized lasso implementations☆46Updated 10 months ago
- Black Box Variational Inference☆14Updated 10 years ago
- ☆12Updated 2 years ago
- Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"☆28Updated 6 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 7 years ago
- Bayesian GPLVM in MATLAB and R☆75Updated 8 years ago
- sgmcmc: a stochastic gradient MCMC package for R☆29Updated 4 years ago
- General Latent Feature Modeling for Heterogeneous data☆49Updated last year
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 9 years ago
- ELFI - Engine for Likelihood-Free Inference☆277Updated 3 months ago
- Gaussian process regression demo in Javascript☆36Updated 8 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- Variational Fourier Features☆85Updated 4 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Bayesian Regression Models in Pyro☆72Updated last year
- Draft introduction to probability and inference aimed at the Stan manual.☆85Updated 9 years ago
- some scripts for the couplings enthusiasts!☆32Updated 5 years ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 5 years ago
- stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…☆25Updated 3 years ago
- An R package for large scale estimation with stochastic gradient descent☆62Updated last year
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 5 years ago
- Open Data Science☆33Updated 8 months ago