The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
What is an optimal value of k in k-fold cross-validation in discrete Bayesian network analysis?
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Citations
Cites
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444
(2012) · Cited by 9,062
Friedman, N., Geiger, D., & Goldszmidt, M. (1997) · Machine Learning · doi:10.1023/a:1007465528199 · Cited by 4,742
Maximum likelihood estimation from incomplete data via the EM algorithm
Dempster, A. P. (1977) · Journal of the Royal Statistical Society Series A (Statistics in Society) · Cited by 4,543
Bayesian Networks and Decision Graphs
Jensen, F. V., & Nielsen, T. D. (2007) · Information Science and Statistics · doi:10.1007/978-0-387-68282-2 · Cited by 4,129
A survey of cross-validation procedures for model selectionPreprint
Arlot, S., & Célisse, A. (2010) · Cited by 3,625
A survey of cross-validation procedures for model selection
Arlot, S., & Celisse, A. (2010) · Statistics Surveys · doi:10.1214/09-ss054 · Cited by 3,522
The Predictive Sample Reuse Method with Applications
Geisser, S. (1975) · Journal of the American Statistical Association · doi:10.1080/01621459.1975.10479865 · Cited by 2,748 · cited 1×
“One popular form of model validation uses k-fold 1 cross-validation (Geisser 1975; Arlot and Celisse 2010).”
MethodStatistical Learning with Sparsity: The Lasso and Generalizations
Hastie, T., Tibshirani, R., & Wainwright, M. (2015) · Chapman & Hall/CRC eBooks · doi:10.1201/b18401 · Cited by 2,520
Learning Bayesian Networks with the bnlearnR Package
Scutari, M. (2010) · Journal of Statistical Software · doi:10.18637/jss.v035.i03 · Cited by 1,733
Cited by
Ghasemzadeh, H., Hillman, R. E., & Mehta, D. D. (2024) · Journal of Speech, Language, and Hearing Research · doi:10.1044/2023_jslhr-23-00273 · Cited by 72
Metadata
- Authors
- Marcot, B. G., & Hanea, A. M.
- Venue
- Computational Statistics
- Published
- 2020-06-13
- Volume
- 36
- Issue
- 3
- Pages
- 2009-2031
- ISSN
- 0943-4062 (ISSN-L)
- 1613-9658
- OpenAlex
- W3034750607
- Cited by
- 417
- References
- 30
- FWCI
- 18.37
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: What is an optimal value of k in k-fold cross-validation in discrete Bayesian network analysis? https://app.cochat.ai/papers/10.1007/s00180-020-00999-9
- The paper
- Marcot, B. G., & Hanea, A. M. (2021). What is an optimal value of k in k-fold cross-validation in discrete Bayesian network analysis? Computational Statistics. https://doi.org/10.1007/s00180-020-00999-9
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
