Bayesian computation: a summary of the current state, and samples backwards and forwards

Keywords

Computation, Bayesian probability, Current (fluid), Algorithm, Mathematics

References

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Cited by

• Efficient Adaptive MCMC Through Precision EstimationJonas Wallin, David Bolin — 2015
• Bayesian Semiparametric Multivariate Density DeconvolutionAbhra Sarkar, Debdeep Pati, Antik Chakraborty — 2014
• A Survey of Stochastic Simulation and Optimization Methods in Signal ProcessingMarcelo Pereyra, Philip Schniter, Émilie Chouzenoux — 2015
• Control functionals for Monte Carlo integrationChris J. Oates, Mark Girolami, ChopinNicolas — 2014
• Bayesian computation: a perspective on the current state, and sampling backwards and forwardsPeter Green, Krzysztof Latuszyski, Marcelo Pereyra — 2015
• Multimodal, high-dimensional, model-based, Bayesian inverse problems with applications in biomechanicsIsabell M. Franck, Phaedon‐Stelios Koutsourelakis — 2015
• On the geometric ergodicity of Hamiltonian Monte CarloSamuel Livingstone, Michael Betancourt, Simon Byrne — 2016
• Approximating Bayesian confidence regions in convex inverse problemsMarcelo Pereyra — 2016
• A Gaussian-based framework for local Bayesian inversion of geophysical data to rock propertiesMartin Jullum, Odd Kolbjørnsen — 2016
• Maximum-a-Posteriori Estimation with Bayesian Confidence RegionsMarcelo Pereyra — 2016
• Explaining Preference Heterogeneity with Mixed Membership ModelingMarc Dotson, Joachim BBschken, Greg M. Allenby — 2020
• New focused approaches to topics within model selection and approximate Bayesian inversionMartin Jullum — 2016
• The emergence of gravitational wave science: 100 years of development of mathematical theory, detectors, numerical algorithms, and data analysis toolsMichael Holst, Olivier Sarbach, Manuel Tiglio — 2016
• Parallel Local Approximation MCMC for Expensive ModelsPatrick R. Conrad, Andrew D. Davis, Youssef Marzouk — 2016
• Importance sampling type correction of Markov chain Monte Carlo and exact approximationsMatti Vihola, Jouni Helske, Jordan Franks — 2016
• Fundamentals and Recent Developments in Approximate Bayesian ComputationJarno Lintusaari, Michael U. Gutmann, Ritabrata Dutta — 2016
• Langevin Diffusion Transitional Markov Chain Monte Carlo with an Application to PharmacodynamicsGeorgios Arampatzis, Daniel Wälchli, Panagiotis Angelikopoulos — 2016
• Bayesian Computation Methods for Inferring Regulatory Network Models Using Biomedical Data.Tianhai Tian — 2016
• Adaptive kernels in approximate filtering of state‐space modelsKamil Dedecius — 2017
• Accelerating Bayesian inference for evolutionary biology modelsXavier Meyer, Bastien Chopard, Nicolas Salamin — 2016

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