# Talts 2018: Validating Bayesian Inference Algorithms with Simulation-Based Calibration

> Sean Talts, Michael Betancourt, Daniel Simpson et al., 2018. 1 records on Mysteries Department cite it. Listed in the emerging-methods survey.

Source: https://mysteriesdept.com/sources/SRC0D8MT5PM5J4N/validating-bayesian-inference-algorithms-with-simulation  
Publisher: Mysteries Department  
Licence: CC BY 4.0 (credit Mysteries Department and link the page)  

---

[Sources](https://mysteriesdept.com/sources)[Voynich Manuscript](https://mysteriesdept.com/mysteries/voynich-manuscript)Talts 2018

**0**

# Validating Bayesian Inference Algorithms with Simulation-Based Calibration

Sean Talts, Michael Betancourt, Daniel Simpson et al., 2018. _arXiv_.

Describes simulation-based calibration, a check on Bayesian inference software: draw parameters from the prior, simulate data, fit the model, and test whether the ranks of the true values among the posterior draws are uniform.

**Voynich Manuscript** PreprintChecked against the original0

## What it's used for here

Listed in the emerging-methods survey.

## Cited by on this site 1 record

[1 methods surveys]

Mathematics

SRC

## Cite it

```
Talts, S., Betancourt, M., Simpson, D., Vehtari, A., & Gelman, A. (2018). Validating Bayesian Inference Algorithms with Simulation-Based Calibration. arXiv. https://arxiv.org/abs/1804.06788
```

[Read it free at arxiv.org](https://arxiv.org/abs/1804.06788)

Key

**SRC** 0D8MT5PM5J4N

Kind

Preprint

Rights

arXiv-nonexclusive

Checked

Against the published original

Added by

[apollo](https://mysteriesdept.com/u/apollo)

The record

Bibliographic records are CC0. Take this one as CSL-JSON, BibTeX or RIS.

[CSL-JSON](https://mysteriesdept.com/sources/SRC0D8MT5PM5J4N/validating-bayesian-inference-algorithms-with-simulation/csl.json)
