bayesian-inference
Awesome papers on Bayesian Inference
https://github.com/mlpapers/bayesian-inference
Last synced: about 9 hours ago
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- The No-U-Turn Sampler: Adaptively Setting Path Lengthsin Hamiltonian Monte Carlo
- Approximate Bayesian Computation in Population Genetics
- Tensorflow Probability
- Zhusuan
- Pyro
- NumPyro - Pyro on JAX
- Brancher
- Bambi - PyMC and Stan interface
- BRMP - Pyro interface
- BAT.jl
- Gen
- Turing.jl
- PyMC3 - devs/pymc4)
- Bayesian Methods for Hackers - Pilon (the main author)*
- Bayesian Data Analysis
- Bayesian Workflow - Christian Bürkner, Martin Modrák*
- Equation of State Calculations by Fast Computing Machines
- Monte Carlo Sampling Methods Using Markov Chains and Their Applications
- Understanding the Metropolis-Hastings Algorithm
- The Geometric Foundations of Hamiltonian Monte Carlo
- A Conceptual Introduction to Hamiltonian Monte Carlo
- Markov chain Monte Carlo without likelihoods
- Sequential Monte Carlo without likelihoods
- Non-linear regression models for Approximate Bayesian Computation
- Likelihood-free Markov chain Monte Carlo
- Approximate Bayesian Computation(ABC) in practice
- Hamiltonian ABC
- Reliable ABC model choice via random forests - Michel Marin, Arnaud Estoup, Jean-Marie Cornuet, Mathieu Gautier, Christian P. Robert*
- Bayesian parameter estimation viavariational methods
- The Variational Gaussian Approximation Revisited
- Doubly Stochastic Variational Bayes for non-Conjugate Inference - Gredilla*
- Variational Inference: A Review for Statisticians
- Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm
- Gaussian Processes for Machine Learning
- The Well-Calibrated Bayesian
- Transforming Classifier Scores into Accurate Multiclass Probability Estimates
- Predicting Good Probabilities With Supervised Learning - Mizil, Rich Caruana*
- Nearly-Isotonic Regression
- Beta calibration: a well-founded and easily implemented improvement on logistic calibration for binary classifiers
- Verified Uncertainty Calibration
- Improving Regression Uncertainty Estimates with an Empirical Prior
- Stan
- LaplacesDemon
- Greta
- Rstanarm
- Soss.jl
- DynamicPPL
- WebPPL
- StatSim
- JASP
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probabilistic-programming
5
bayesian-inference
5
bayesian-statistics
4
mcmc
3
machine-learning
3
julia
2
statistics
2
julia-language
2
hmc
2
pyro
1
numpy
1
jax
1
inference-algorithms
1
webppl
1
javascript
1
tensorflow
1
neural-networks
1
deep-learning
1
data-science
1
prior
1
posterior
1
metaprogramming
1
julia-library
1
statistical-modeling
1
statistical-analysis
1
regression-models
1
python
1
turing
1
probabilistic-models
1
probabilistic-inference
1
probabilistic-graphical-models
1
hamiltonian-monte-carlo
1
bayesian-neural-networks
1
artificial-intelligence
1
bayesian-methods
1