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Data · dataset · 2020

Code and data of Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC

Listed in DaRUS

This dataset contains the code and all relevant data and of the paper "Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC" by Sebastian Reuschen, Teng Xu and Wolfgang Nowak.

Description

Always cite the paper together with this dataset because this dataset is not self-explanatory. The code.tar.gz file contains an implementation of the parallel-tempering sequential Gibbs MCMC and performs Bayesian inversion of hierarchical geostatistical models.

The data.tar.gz file contains samples from the posterior distribution of a Bayesian inversion of two (highly informative and weakly informative) test cases, which are presented in the related publication. To access the data, download the data.tar.gz file and unzip it. To access the MATLAB implementation of the MCMC code, (which produced the data) download the code.tar.gz file and unzip it.

Links

Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
DaRUSdoi:10.18419/DARUS-74113 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].dataverse_subject:mathematical-sciencessource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
concepts[field].local:field:earth-environmentalmapping · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
concepts[field].local:field:mathematics-statisticsmapping · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
created_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
descriptionsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/description
publication_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
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version_labelsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0