Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis Article Swipe

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Ivette Raices Cruz , Johan Lindström , Matthias C. M. Troffaes , Ullrika Sahlin ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.1016/j.csda.2022.107558

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Markov chain Monte Carlo Prior probability Sampling (signal processing) Slice sampling Bayesian probability Bayesian inference Gibbs sampling Mathematics Computer science Algorithm Statistics Filter (signal processing) Computer vision

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.csda.2022.107558
OA Status: hybrid
Cited By: 18
References: 61
Related Works: 10
OpenAlex ID: https://openalex.org/W4283213141

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DOI: https://doi.org/10.1016/j.csda.2022.107558

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Title: Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis

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Language: en

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Publication year: 2022

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Publication date: 2022-07-01

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Authors: Ivette Raices Cruz, Johan Lindström, Matthias C. M. Troffaes, Ullrika Sahlin

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Landing page: https://doi.org/10.1016/j.csda.2022.107558

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Concepts: Markov chain Monte Carlo, Prior probability, Sampling (signal processing), Slice sampling, Bayesian probability, Bayesian inference, Gibbs sampling, Mathematics, Computer science, Algorithm, Statistics, Filter (signal processing), Computer vision

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Cited by: 18

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referenced_works_count	61
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