The DOI matches its Crossref record.
A Bayesian approach to bandwidth selection for multivariate kernel density estimation
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Citations
Cited by
Methods for Summarizing Radiocarbon Datasets
Ramsey, C. B. (2017) · Radiocarbon · doi:10.1017/rdc.2017.108 · Cited by 1,179
Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches
Cormode, G., Garofalakis, M., Haas, P. J., & Jermaine, C. (2011) · Foundations and Trends in Databases · doi:10.1561/1900000004 · Cited by 468
Metadata
- Authors
- Zhang, X., King, M. L., & Hyndman, R. J.
- Venue
- Computational Statistics & Data Analysis
- Publisher
- Elsevier BV
- Published
- 2006-07
- Volume
- 50
- Issue
- 11
- Pages
- 3009-3031
- ISSN
- 0167-9473 (ISSN-L)
- OpenAlex
- W2165085526
- Cited by
- 186
- References
- 0
- FWCI
- 0.62
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: A Bayesian approach to bandwidth selection for multivariate kernel density estimation. https://app.cochat.ai/papers/10.1016/j.csda.2005.06.019
- The paper
- Zhang, X., King, M. L., & Hyndman, R. J. (2006). A Bayesian approach to bandwidth selection for multivariate kernel density estimation. Computational Statistics & Data Analysis. https://doi.org/10.1016/j.csda.2005.06.019
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.
