Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence (doi:10.18419/darus-2815)

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Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
Entire Codebook

Document Description

Citation

Title:

Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence

Identification Number:

doi:10.18419/darus-2815

Distributor:

DaRUS

Date of Distribution:

2022-10-26

Version:

1

Bibliographic Citation:

Banerjee, Ishani; Walter, Peter, 2022, "Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence", https://doi.org/10.18419/darus-2815, DaRUS, V1

Study Description

Citation

Title:

Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence

Subtitle:

MFP implementation codes on SIP

Identification Number:

doi:10.18419/darus-2815

Authoring Entity:

Banerjee, Ishani (Universität Stuttgart)

Walter, Peter (Universität Stuttgart)

Other identifications and acknowledgements:

Guthke, Anneli

Other identifications and acknowledgements:

Mumford, Kevin G.

Other identifications and acknowledgements:

Nowak, Wolfgang

Software used in Production:

MATLAB

Grant Number:

RTG GRK1829

Grant Number:

EXC 2075 - 390740016

Distributor:

DaRUS

Access Authority:

Banerjee, Ishani

Access Authority:

Nowak, Wolfgang

Depositor:

Banerjee, Ishani

Date of Deposit:

2022-04-14

Holdings Information:

https://doi.org/10.18419/darus-2815

Study Scope

Keywords:

Earth and Environmental Sciences, Engineering, Mathematical Sciences, Bayesian Model Selection, Markov-Chain Models, Markov Chain, Gas Injection in Porous Media

Abstract:

This dataset contains the codes used for implementing the method of forced probabilities of the manuscript: The Method of Forced Probabilities: A Computation Trick for Bayesian Model Evidence. Here, one can find the codes of implementation of the trick on stochastic invasion percolation (SIP) models discussed in the manuscript; it can be used by the reader to replicate the results of our paper.<br> Further, if the reader wants to apply the trick to his own model and data, this code can serve as a guideline on how to implement it.

Kind of Data:

Simulation Data

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Studies

The experimental data included in `scenarioReal/data/y0/y0_clean.mat` is binary data extracted and imported from the dataset of VanDeVen2021. The original data can be found here: https://doi.org/10.5683/SP2/RQKOCN

Related Publications

Citation

Title:

Banerjee, I., Walter, P., Guthke, A., Mumford, K.G. & Nowak, W. (2022). The Method of Forced Probabilities: A Computation Trick for Bayesian Model Evidence. Computational Geosciences. Accepted for publication.

Bibliographic Citation:

Banerjee, I., Walter, P., Guthke, A., Mumford, K.G. & Nowak, W. (2022). The Method of Forced Probabilities: A Computation Trick for Bayesian Model Evidence. Computational Geosciences. Accepted for publication.

Other Study-Related Materials

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README.txt

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add_evaluations_realData.m

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BMEfactors.m

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evaluate_BME_realData.m

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text/plain

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load_exptruth.m

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text/plain

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README.txt

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text/plain

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runNew20Times.m

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searching_subset.m

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text/plain

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data_load_y0.m

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text/plain

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importim.m

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text/plain

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y0_clean.mat

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application/matlab-mat

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README_SIP.txt

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text/plain

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SIP.m

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text/plain

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eval_Trick.m

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text/plain

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eval_Trick_multEvents.m

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text/plain

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eval_Trick_noInit.m

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text/plain

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GasClusSepn.m

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text/plain

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generate_sub_exp.m

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text/plain

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plotSIPFM.m

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text/plain

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runGasFM.m

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text/plain

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SIP_Ewing.m

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text/plain

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ThreshCalc.m

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text/plain

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Update_rule.m

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text/plain

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Update_rule_trick.m

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text/plain

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BMEfactors.m

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text/plain

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BMEfactors_Scen1.m

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text/plain

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gen_truth.m

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text/plain

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load_truth.m

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text/plain

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README.txt

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text/plain

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evaluate_BME.m

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text/plain

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add_evaluations_similarTe.m

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text/plain

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evaluate_BME_similarTe.m

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text/plain

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runNew20Times.m

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text/plain

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add_evaluations_unknownTe.m

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text/plain

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evaluate_BME_unknownTe.m

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text/plain

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runNew20Times.m

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text/plain

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README_SIP.txt

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text/plain

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SIP.m

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text/plain

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eval_Trick.m

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text/plain

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eval_Trick_multEvents.m

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text/plain

Other Study-Related Materials

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eval_Trick_noInit.m

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text/plain

Other Study-Related Materials

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GasClusSepn.m

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text/plain

Other Study-Related Materials

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generate_sub_exp.m

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text/plain

Other Study-Related Materials

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plotSIPFM.m

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text/plain

Other Study-Related Materials

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runGasFM.m

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text/plain

Other Study-Related Materials

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SIP_Ewing_noReInv.m

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text/plain

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ThreshCalc.m

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text/plain

Other Study-Related Materials

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Update_rule.m

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text/plain

Other Study-Related Materials

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Update_rule_trick.m

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text/plain