The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
A kernel method of estimating structured nonparametric regression based on marginal integration
Abstract
We define a simple kernel procedure based on marginal integration that estimates the relevant univariate quantity in both additive and multiplicative nonparametric regression.
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Citations
Cites
Brown, R. A., Hastie, T. J., & Tibshirani, R. J. (1991) · Biometrics · doi:10.2307/2532174 · Cited by 8,176
Applied nonparametric regression
(1991) · Choice Reviews Online · doi:10.5860/choice.29-0364 · Cited by 2,580
Root-N-Consistent Semiparametric Regression
Robinson, P. M. (1988) · Econometrica · doi:10.2307/1912705 · Cited by 2,475
Friedman, J. H., & Stuetzle, W. (1981) · Journal of the American Statistical Association · doi:10.1080/01621459.1981.10477729 · Cited by 2,216
Design-adaptive Nonparametric Regression
Fan, J. (1992) · Journal of the American Statistical Association · doi:10.1080/01621459.1992.10476255 · Cited by 1,268
Additive Regression and Other Nonparametric Models
Stone, C. J. (1985) · The Annals of Statistics · doi:10.1214/aos/1176349548 · Cited by 1,232
Linear Smoothers and Additive Models
Buja, A., Hastie, T., & Tibshirani, R. (1989) · The Annals of Statistics · doi:10.1214/aos/1176347115 · Cited by 989
Semiparametric Estimates of the Relation between Weather and Electricity Sales
Engle, R. F., Granger, C. W. J., Rice, J., & Weiss, A. (1986) · Journal of the American Statistical Association · doi:10.1080/01621459.1986.10478274 · Cited by 988
Versions of Kernel-Type Regression Estimators
Jones, M. C., Davies, S. J., & Park, B. U. (1994) · Journal of the American Statistical Association · doi:10.1080/01621459.1994.10476816 · Cited by 119
Almost surely consistent nonparametric regression from recursive partitioning schemes
Gordon, L., & Olshen, R. A. (1984) · Journal of Multivariate Analysis · doi:10.1016/0047-259x(84)90022-8 · Cited by 85
Cited by
Matching As An Econometric Evaluation Estimator
Heckman, J. J., Ichimura, H., & Todd, P. (1998) · Review of Economic Studies · doi:10.1111/1467-937x.00044 · Cited by 3,807
Economic development and CO2 emissions: A nonparametric panel approach
Azomahou, T., Laisney, F., & Nguyen Van, P. (2006) · Journal of Public Economics · doi:10.1016/j.jpubeco.2005.09.005 · Cited by 422
Nonparametric Estimation of Nonadditive Random Functions
Matzkin, R. L. (2003) · Econometrica · doi:10.1111/1468-0262.00452 · Cited by 386
Endogeneity in nonparametric and semiparametric regression models
Powell, J. L., & Blundell, R. (2001) · Working Paper Series · doi:10.1920/wp.cem.2001.0901 · Cited by 362
Metadata
- Authors
- LINTON, O., & NIELSEN, J. P.
- Venue
- Biometrika
- Publisher
- Oxford University Press (OUP)
- Published
- 1995-03-01
- Volume
- 82
- Issue
- 1
- Pages
- 93-100
- ISSN
- 0006-3444 (ISSN-L)
- 1464-3510
- OpenAlex
- W1965650400
- Cited by
- 543
- References
- 10
- FWCI
- 8.24
- Type
- journal article
- Language
- en
- Open access
- closed
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- LINTON, O., & NIELSEN, J. P. (1995). A kernel method of estimating structured nonparametric regression based on marginal integration. Biometrika. https://doi.org/10.1093/biomet/82.1.93
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.
