The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Nonparametric regression using Bayesian variable selection
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Citations
Cites
An Analysis of Transformations
Box, G. E. P., & Cox, D. R. (1964) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1964.tb00553.x · Cited by 15,052
Brown, R. A., Hastie, T. J., & Tibshirani, R. J. (1991) · Biometrics · doi:10.2307/2532174 · Cited by 8,176
Koyak, R. A., Hastie, T. J., & Tibshirani, R. J. (1991) · Journal of the American Statistical Association · doi:10.2307/2290538 · Cited by 7,596
Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
Belsley, D. A., Kuh, E., & Welsch, R. E. (1980) · Wiley Series in Probability and Statistics · doi:10.1002/0471725153 · Cited by 7,297
Sampling-based approaches to calculating marginal densities
Gelfand, A. E., & Smith, A. F. M. (1990) · Journal of the American Statistical Association · doi:10.1080/01621459.1990.10476213 · Cited by 6,606
Hastie, T., & Tibshirani, R. (1986) · Statistical Science · doi:10.1214/ss/1177013604 · Cited by 3,409
Variable Selection via Gibbs Sampling
George, E. I., & McCulloch, R. E. (1993) · Journal of the American Statistical Association · doi:10.1080/01621459.1993.10476353 · Cited by 2,828
Understanding robust and exploratory data analysis
Hoaglin, D. C., Mosteller, F. C., & Tukey, J. W. (1983) · Wiley eBooks · Cited by 1,906
Hedonic housing prices and the demand for clean air
Harrison, D., & Rubinfeld, D. L. (1978) · Journal of Environmental Economics and Management · doi:10.1016/0095-0696(78)90006-2 · Cited by 1,854
Chambers, J., Hastie, T., & Pregibon, D. (1990) · Compstat · doi:10.1007/978-3-642-50096-1_48 · Cited by 1,742
Cited by
(1997) · Cited by 1,193
Model Selection and the Principle of Minimum Description Length
Hansen, M. H., & Yu, B. (2001) · Journal of the American Statistical Association · doi:10.1198/016214501753168398 · Cited by 788
Modeling causes of death: an integrated approach using CODEm
Foreman, K. J., Lozano, R., Lopez, A. D., & Murray, C. J. (2012) · Population Health Metrics · doi:10.1186/1478-7954-10-1 · Cited by 564
Calibration and empirical Bayes variable selection
George, E. (2000) · Biometrika · doi:10.1093/biomet/87.4.731 · Cited by 520
The Practical Implementation of Bayesian Model Selection
Chipman, H., George, E. I., & McCulloch, R. E. (2001) · Institute of Mathematical Statistics Lecture Notes - Monograph Series · doi:10.1214/lnms/1215540964 · Cited by 416
Metadata
- Authors
- Smith, M., & Kohn, R.
- Venue
- Journal of Econometrics
- Publisher
- Elsevier BV
- Published
- 1996-12
- Volume
- 75
- Issue
- 2
- Pages
- 317-343
- ISSN
- 0304-4076 (ISSN-L)
- OpenAlex
- W2166624680
- Cited by
- 580
- References
- 28
- FWCI
- 7.52
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- The paper
- Smith, M., & Kohn, R. (1996). Nonparametric regression using Bayesian variable selection. Journal of Econometrics. https://doi.org/10.1016/0304-4076(95)01763-1
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.