Concepedia

flowMC: Normalizing flow enhanced sampling package forprobabilistic inference in JAX

Kaze W. K. Wong, Marylou Gabrié, Daniel Foreman-Mackey

The Journal of Open Source Software · 2023 · 28 citations · 10 references

Open access

Concepts

ComputingData ScienceBayesian Data AnalysisMachine LearningStochastic ModelingBayesian InferenceBayesian ModelingBayesian StatisticsGenerative ModelingMarkov Chain Monte CarloMonte Carlo MethodsMarkov Chain Monte Carlo InferenceMarkov Chain Monte Carlo Posterior SamplingMetropolis-hastings AlgorithmMetropolis-hastings SamplingNormalizing FlowsPosterior Distribution ApproximationPosterior Distribution EstimationSampling

Abstract

International audience

References

10

Slice sampling

Radford M. Neal · The Annals of Statistics · 2003 · 1.4K citations · Full text

Business, Data Science, Bayesian Data Analysis +13

Normalizing Flows: An Introduction and Review of Current Methods

Ivan Kobyzev, Simon J. D. Prince, Marcus A. Brubaker · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2020 · 1.2K citations · Full text

Computing, Computer Science, Machine Learning +10

A tutorial on adaptive MCMC

Christophe Andrieu, Johannes Thoms · Statistics and Computing · 2008 · 959 citations · Full text

Computing, Computer Science, Bayesian Data Analysis +11

Bayesian inference in ecology

Aaron M. Ellison · Ecology Letters · 2004 · 782 citations

Natural Sciences, Ecology, Statistical Modeling +15

Pyro: Deep Universal Probabilistic Programming

Eli Bingham, Jonathan P. Chen, Martin Jankowiak et al. · arXiv (Cornell University) · 2018 · 591 citations · Full text

Computing, Computer Science, High-performance Computing +16