---
title: "mvtnorm (R package): papers citing this CRAN package"
description: "22 papers in the tracked journals link to mvtnorm (R package) in their Crossref records, the first in 2017; most of them (4) in 2023."
url: https://scholar4ai.com/code/cran-mvtnorm
markdown_url: https://scholar4ai.com/code/cran-mvtnorm.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "22 papers in the tracked journals link to mvtnorm (R package) in their Crossref records, the first in 2017; most of them (4) in 2023. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# mvtnorm (R package): papers linking to it

Research papers in the 480 tracked journals that link to mvtnorm (R package) (https://CRAN.R-project.org/package=mvtnorm), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

- CRAN
- https://CRAN.R-project.org/package=mvtnorm

All repositories: https://scholar4ai.com/code.md

## Key findings

- 22 papers in the tracked journals link to mvtnorm (R package) in their Crossref records, the first in 2017; most of them (4) in 2023.
- By category: Statistics (14), Operations Research (6) and Finance (1); the journals with the most are Computational Statistics (5), Methodology And Computing In Applied Probability (2) and Statistics and Computing (2).
- 2 of the papers build on one another: a later paper cites an earlier one that also links mvtnorm (R package).

## By year

*Papers linking to mvtnorm (R package) by publication year*

| Year | Papers |
|---|---:|
| 2017 | 3 |
| 2018 | 3 |
| 2019 | 1 |
| 2020 | 2 |
| 2021 | 1 |
| 2022 | 2 |
| 2023 | 4 |
| 2024 | 2 |
| 2025 | 2 |
| 2026 | 2 |

## Journals

*Journals whose papers link to mvtnorm (R package) most*

| Journal | Papers |
|---|---:|
| [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 5 |
| [Methodology And Computing In Applied Probability](https://scholar4ai.com/journals/methodology-and-computing-in-applied-probability.md) | 2 |
| [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 2 |
| [Journal of Multivariate Analysis](https://scholar4ai.com/journals/journal-of-multivariate-analysis.md) | 2 |
| [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | 2 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [Geostatistical estimation and prediction for censored responses](https://doi.org/10.1016/j.spasta.2017.12.001) (Spatial Statistics, 2017)
  - [Autoregressive Bayesian modeling of censored HIV longitudinal data using the multivariate Student’s-t distribution](https://doi.org/10.1007/s42081-025-00299-w) (Japanese Journal of Statistics and Data Science, 2025) — cites the paper above

## Papers

*Papers linking to mvtnorm (R package), most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2017-05-25 | [Finite mixture modeling of censored data using the multivariate Student- t distribution](https://doi.org/10.1016/j.jmva.2017.05.005) | [Journal of Multivariate Analysis](https://scholar4ai.com/journals/journal-of-multivariate-analysis.md) | Victor Hugo Lachos, Edgar Javier López Moreno, Kun Chen et al. | 33 | cites it |
| 2018-07-12 | [A Bayesian optimization approach to find Nash equilibria](https://doi.org/10.1007/s10898-018-0688-0) | [Journal of Global Optimization](https://scholar4ai.com/journals/journal-of-global-optimization.md) | Victor Picheny, Mickaël Binois, Abderrahmane Habbal | 29 | cites it |
| 2018-10-08 | [Managing projects with uncertain deadlines](https://doi.org/10.1016/j.ejor.2018.09.036) | [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | Robert F. Bordley, Jeffrey M. Keisler, Tom McLeod Logan | 28 | cites it |
| 2017-12-12 | [Geostatistical estimation and prediction for censored responses](https://doi.org/10.1016/j.spasta.2017.12.001) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | José Alejandro Ordoñez, Dipankar Bandyopadhyay, Victor Hugo Lachos et al. | 15 | cites it |
| 2019-02-26 | [Nonparametric multiple contrast tests for general multivariate factorial designs](https://doi.org/10.1016/j.jmva.2019.02.016) | [Journal of Multivariate Analysis](https://scholar4ai.com/journals/journal-of-multivariate-analysis.md) | Asanka Gunawardana, Frank Konietschke | 15 | cites it |
| 2020-05-07 | [Approximations for the Boundary Crossing Probabilities of Moving Sums of Random Variables](https://doi.org/10.1007/s11009-019-09769-7) | [Methodology And Computing In Applied Probability](https://scholar4ai.com/journals/methodology-and-computing-in-applied-probability.md) | Jack Noonan, Anatoly A. Zhigljavsky | 15 | cites it |
| 2022-04-01 | [Permutation testing for thick data when the number of variables is much greater than the sample size: recent developments and some recommendations](https://doi.org/10.1007/s00180-022-01218-3) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Patrick Benjamin Langthaler, Riccardo Ceccato, Luigi Salmaso et al. | 12 | cites it |
| 2018-05-04 | [Generalized conditioning based approaches to computing confidence intervals for solutions to stochastic variational inequalities](https://doi.org/10.1007/s10107-018-1279-z) | [Mathematical Programming](https://scholar4ai.com/journals/mathematical-programming.md) | Michael Lamm, Shu Lü | 9 | cites it |
| 2022-07-16 | [Clustered Bayesian classification for within-class separation](https://doi.org/10.1016/j.eswa.2022.118152) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Fatih Sağlam, Emre Yıldırım, Mehmet Ali Cengiz | 8 | cites it |
| 2017-01-10 | [Stochastic sensitivity analysis of concentration measures](https://doi.org/10.1007/s10100-016-0465-4) | [Central European Journal of Operations Research](https://scholar4ai.com/journals/central-european-journal-of-operations-research.md) | Martin Boďa | 4 | cites it |
| 2020-08-07 | [Testing symmetry around a subspace](https://doi.org/10.1007/s00362-020-01201-4) | [Statistical Papers](https://scholar4ai.com/journals/statistical-papers.md) | Šárka Hudecová, Miroslav Šiman | 4 | cites it |
| 2023-08-25 | [The distribution of the sample correlation coefficient under variance-truncated normality](https://doi.org/10.1007/s00184-023-00918-0) | [Metrika](https://scholar4ai.com/journals/metrika.md) | Haruhiko Ogasawara | 3 | cites it |
| 2025-10-17 | [Efficient Likelihood-Based Temporal Changepoint Detection in Spatio-Temporal Processes](https://doi.org/10.1007/s11222-025-10745-0) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Gaurav Agarwal, Idris Arthur Eckley, Paul Fearnhead | 3 | cites it |
| 2021-11-18 | [Applying the rescaling bootstrap under imputation for a multistage sampling design](https://doi.org/10.1007/s00180-021-01164-6) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Christian Bruch | 1 | cites it |
| 2023-06-01 | [On Familywise Error Rate Cutoffs under Pairwise Exchangeability](https://doi.org/10.1007/s11009-023-10018-1) | [Methodology And Computing In Applied Probability](https://scholar4ai.com/journals/methodology-and-computing-in-applied-probability.md) | Thomas Fung, Eugene B. Seneta | 1 | cites it |
| 2023-07-01 | [hermiter: R package for sequential nonparametric estimation](https://doi.org/10.1007/s00180-023-01382-0) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Michael Stephanou, Melvin Varughese | 1 | cites it |
| 2024-09-06 | [A precise and efficient exceedance-set algorithm for detecting environmental extremes](https://doi.org/10.1007/s00180-024-01540-y) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Thomas Suesse, Alexander Brenning | 1 | cites it |
| 2023-03-07 | [On combining unbiased and possibly biased correlated estimators](https://doi.org/10.1007/s42081-023-00194-2) | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | Stavros Zinonos, William E. Strawderman | 0 | cites it |
| 2024-12-28 | [A limit formula and recursive algorithm for multivariate Normal tail probability](https://doi.org/10.1007/s11222-024-10552-z) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Siu‐Kui Au | 0 | cites it |
| 2025-03-23 | [Autoregressive Bayesian modeling of censored HIV longitudinal data using the multivariate Student’s-t distribution](https://doi.org/10.1007/s42081-025-00299-w) | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | Kelin Zhong, Luis M. Castro, Panpan Zhang et al. | 0 | cites it |
| 2026-08-25 | [Doubly blocked variant of Genz’s method for multivariate normal integration](https://doi.org/10.1007/s00180-026-01794-8) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Jakob Peterlin | 0 | cites it |
| 2026-11-01 | [Stochastic orders for the comparison of random cash flows with random interest rates](https://doi.org/10.1016/j.insmatheco.2026.103312) | [Insurance Mathematics and Economics](https://scholar4ai.com/journals/insurance-mathematics-and-economics.md) | Carlos Enrique Carleos, María Concepción López-Díaz, Miguel López-Dı́az | 0 | cites it |

## How this is measured

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

## Cite this page

Scholar4AI. (2026). mvtnorm (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-mvtnorm

```bibtex
@misc{scholar4ai-code-cran-mvtnorm,
  author = {{Scholar4AI}},
  title = {mvtnorm (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-mvtnorm}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).