Replication data for: Computing quantities of interest and their uncertainty using Bayesian simulation
| Item Type: | Dataset |
|---|---|
| Title: | Replication data for: Computing quantities of interest and their uncertainty using Bayesian simulation |
| Date: | 2022 |
| Creator: |
Murr, Andreas ; Traunmueller, Richard  ORCID: 0000-0001-9487-091X ; Gill, Jeff
|
| Divisions: | School of Social Sciences > Political Science, Empirical Democracy Research (Traunmüller 2017-) |
| DDC Classification: |
320 Political science |
|---|---|
| Abstract: | When analyzing data, researchers are often less interested in the parameters of statistical models than in functions of these parameters such as predicted values. Here we show that Bayesian simulation with Markov-chain Monte Carlo tools makes it easy to compute these quantities of interest with their uncertainty. We illustrate how to produce customary and relatively new quantities of interest such as variable importance ranking, posterior predictive data, difficult marginal effects, and model comparison statistics to allow researchers to report more informative results. (English) |
| External Identifier for Data: | https://doi.org/10.7910/DVN/ONY6WJ |
| URL: | https://madata.bib.uni-mannheim.de/827/ |
|---|---|
| Access (Controlled): | Only Metadata |
| License (Controlled): | Creative Commons: CC0 | Universal 1.0 (recommended) |
| Related Publication(s) in MADOC: | Murr, Andreas und Traunmüller, Richard und Gill, Jeff (2022), Computing quantities of interest and their uncertainty using Bayesian simulation |
Full text not available from this repository.
| Date Deposited: | 27 Apr 2026 16:24 |
|---|---|
| Last Modified: | 27 Apr 2026 16:24 |
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