# Statistics and Computing

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/statistics-and-computing/

## Facts

| Field | Value |
| --- | --- |
| APC (USD) | 2,690 |
| Citations | 120,050 |
| h-index | 122 |
| Homepage | http://www.springerlink.com/content/100219/ |
| Open Access | false |
| ISSN-L | 0960-3174 |
| ISSNs | 0960-3174,1573-1375 |
| OpenAlex ID | https://openalex.org/S5437875 |
| Publisher | Springer Science+Business Media |
| Works | 2,651 |

## Journal papers

- [Linear quantile mixed models](https://scholariq.org/papers/linear-quantile-mixed-models/)
- [Straightforward intermediate rank tensor product smoothing in mixed models](https://scholariq.org/papers/straightforward-intermediate-rank-tensor-product-smoothing-in-mixed-models/)
- [Fast smoothing parameter separation in multidimensional generalized P-splines: the SAP algorithm](https://scholariq.org/papers/fast-smoothing-parameter-separation-in-multidimensional-generalized-p-splines/)

## Journal top topics

Showing 8 of 25.

- [Markov Chains and Monte Carlo Methods](https://scholariq.org/topics/markov-chains-and-monte-carlo-methods/)
- [Statistical Methods and Inference](https://scholariq.org/topics/statistical-methods-and-inference/)
- [Bayesian Methods and Mixture Models](https://scholariq.org/topics/bayesian-methods-and-mixture-models/)
- [Statistical Methods and Bayesian Inference](https://scholariq.org/topics/statistical-methods-and-bayesian-inference/)
- [Advanced Statistical Methods and Models](https://scholariq.org/topics/advanced-statistical-methods-and-models/)
- [Gaussian Processes and Bayesian Inference](https://scholariq.org/topics/gaussian-processes-and-bayesian-inference/)
- [Probabilistic and Robust Engineering Design](https://scholariq.org/topics/probabilistic-and-robust-engineering-design/)
- [Statistical Distribution Estimation and Applications](https://scholariq.org/topics/statistical-distribution-estimation-and-applications/)

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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.