# Estimating Gaussian Copulas with Missing Data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/estimating-gaussian-copulas-with-missing-data/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Maximilian Kertel,Markus Pauly |
| Citations | 1 |
| DOI | 10.48550/arxiv.2201.05565 |
| Fields | Computer Science,Mathematics |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2201.05565 |
| OpenAlex ID | https://openalex.org/W4226325416 |
| Type | preprint |
| Year | 2022 |

## Paper authors

- [Maximilian Kertel](https://scholariq.org/researchers/maximilian-kertel/)

## Paper journal

- [arXiv (Cornell University)](https://scholariq.org/journals/arxiv-cornell-university/)

## Paper primary topic

- [Bayesian Methods and Mixture Models](https://scholariq.org/topics/bayesian-methods-and-mixture-models/)

## Paper topics

- [Bayesian Methods and Mixture Models](https://scholariq.org/topics/bayesian-methods-and-mixture-models/)
- [Statistical Methods and Inference](https://scholariq.org/topics/statistical-methods-and-inference/)
- [Statistical Methods and Bayesian Inference](https://scholariq.org/topics/statistical-methods-and-bayesian-inference/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.