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391 to 400 of 679 Results
station_III.tab
Aug 12, 2023 - Docker Container to setup modelling environment and create results for a 1-D-model
Tabular Data - 23.9 KB - 17 Variables, 86 Observations - UNF:6:c3OeIbYLrGYl8XnQCnhPuQ==
station_II.tab
Aug 12, 2023 - Docker Container to setup modelling environment and create results for a 1-D-model
Tabular Data - 23.6 KB - 17 Variables, 85 Observations - UNF:6:IB8Zmq06CTF1DlueIst1eA==
station_I.tab
Aug 12, 2023 - Docker Container to setup modelling environment and create results for a 1-D-model
Tabular Data - 23.7 KB - 17 Variables, 85 Observations - UNF:6:95BJlrxAw4ezfQVKhFx8Xg==
station_IV.tab
Aug 12, 2023 - Docker Container to setup modelling environment and create results for a 1-D-model
Tabular Data - 23.9 KB - 17 Variables, 86 Observations - UNF:6:ZB5xtv7lY78NbpVHj3Pahg==
Replication Code for: Meta-Uncertainty in Bayesian Model Comparison
Replication Code for: Meta-Uncertainty in Bayesian Model Comparison
May 25, 2023 - Data and Code for: Meta-Uncertainty in Bayesian Model Comparison
Schmitt, Marvin, 2023, "Replication Code for: Meta-Uncertainty in Bayesian Model Comparison", https://doi.org/10.18419/DARUS-3514, DaRUS, V1, UNF:6:zUDr3KGdcaDCy+jFtcz8lA== [fileUNF]
This dataverse contains the code for the paper Meta-Uncertainty in Bayesian Model Comparison: https://doi.org/10.48550/arXiv.2210.07278 Note that the R code is structured as a package, thus requiring a local installation with subsequent loading via library(MetaUncertaintyPaper). The experiments from the accompanying paper (see below) are implemente...
activate.R
May 25, 2023 - Replication Code for: Meta-Uncertainty in Bayesian Model Comparison
R Syntax - 26.5 KB - MD5: 406e38f92fbf258e7b0dff76e476c307
apply_color_map.Rd
May 25, 2023 - Replication Code for: Meta-Uncertainty in Bayesian Model Comparison
Unknown - 508 B - MD5: efd4078885864b7ee481d7a750a7fc92
bayesian_linear_regression.R
May 25, 2023 - Replication Code for: Meta-Uncertainty in Bayesian Model Comparison
R Syntax - 2.0 KB - MD5: f118a5dd0ac9405176e3e031b22cfdba
BetaBinomial.ipynb
May 25, 2023 - Replication Code for: Meta-Uncertainty in Bayesian Model Comparison
Jupyter Notebook - 268.9 KB - MD5: 51ef505d165efcfb6df367a909152beb
beta_binomial_pmps.tab
May 25, 2023 - Replication Code for: Meta-Uncertainty in Bayesian Model Comparison
Tabular Data - 63.7 KB - 5 Variables, 1000 Observations - UNF:6:0S3zNKpiYSHYquMApi4R5A==
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