Nonparametric regression and classification with functional, categorical, and mixed covariates
Author
Abstract
Suggested Citation
DOI: 10.1007/s11634-022-00513-7
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Han Lin Shang, 2014. "Bayesian bandwidth estimation for a functional nonparametric regression model with mixed types of regressors and unknown error density," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 26(3), pages 599-615, September.
- Aneiros, Germán & Novo, Silvia & Vieu, Philippe, 2022. "Variable selection in functional regression models: A review," Journal of Multivariate Analysis, Elsevier, vol. 188(C).
- Peter Hall & Qi Li & Jeffrey S. Racine, 2007. "Nonparametric Estimation of Regression Functions in the Presence of Irrelevant Regressors," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 784-789, November.
- Mirosław Krzyśko & Łukasz Smaga, 2017. "An Application Of Functional Multivariate Regression Model To Multiclass Classification," Statistics in Transition New Series, Polish Statistical Association, vol. 18(3), pages 433-442, September.
- Sergio E Baranzini & Parvin Mousavi & Jordi Rio & Stacy J Caillier & Althea Stillman & Pablo Villoslada & Matthew M Wyatt & Manuel Comabella & Larry D Greller & Roland Somogyi & Xavier Montalban & Jor, 2004. "Transcription-Based Prediction of Response to IFNβ Using Supervised Computational Methods," PLOS Biology, Public Library of Science, vol. 3(1), pages 1-1, December.
- Racine, Jeff & Li, Qi, 2004. "Nonparametric estimation of regression functions with both categorical and continuous data," Journal of Econometrics, Elsevier, vol. 119(1), pages 99-130, March.
- Gneiting, Tilmann & Raftery, Adrian E., 2007. "Strictly Proper Scoring Rules, Prediction, and Estimation," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 359-378, March.
- Alban Mbina Mbina & Guy Martial Nkiet & Fulgence Eyi Obiang, 2019. "Variable selection in discriminant analysis for mixed continuous-binary variables and several groups," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(3), pages 773-795, September.
- Yao, Fang & Muller, Hans-Georg & Wang, Jane-Ling, 2005. "Functional Data Analysis for Sparse Longitudinal Data," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 577-590, June.
- Jeffery Racine & Jeffrey Hart & Qi Li, 2006. "Testing the Significance of Categorical Predictor Variables in Nonparametric Regression Models," Econometric Reviews, Taylor & Francis Journals, vol. 25(4), pages 523-544.
- Asma Gul & Aris Perperoglou & Zardad Khan & Osama Mahmoud & Miftahuddin Miftahuddin & Werner Adler & Berthold Lausen, 2018. "Ensemble of a subset of kNN classifiers," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(4), pages 827-840, December.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Arribas Ivan & Perez Francisco & Tortosa-Ausina Emili, 2010.
"The Determinants of International Financial Integration Revisited: The Role of Networks and Geographic Neutrality,"
Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(1), pages 1-55, December.
- Arribas, Iván & Pérez, Francisco & Tortosa-Ausina, Emili, 2009. "The determinants of international financial integration revisited: the role of networks and geographic neutrality," MPRA Paper 18717, University Library of Munich, Germany.
- Pérez García Francisco & Tortosa-Ausina Emili & Arribas Fernández Iván, 2009. "The Determinants of International Financial Integration Revisited: The Role of Networks and Geographic Neutrality," Working Papers 201049, Fundacion BBVA / BBVA Foundation.
- James Bugden & Robert Waschik & Iain Fraser & Jeffrey S. Racine, 2016.
"Parametric and non-parametric analysis of tax changes,"
Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 18(5), pages 533-549.
- James Bugden & Iain Fraser & Jeffrey S. Racine & Robert Waschik, 2014. "Parametric and Nonparametric Analysis of Tax Changes," Department of Economics Working Papers 2014-02, McMaster University.
- Henderson, Daniel J. & Papageorgiou, Chris & Parmeter, Christopher F., 2013.
"Who benefits from financial development? New methods, new evidence,"
European Economic Review, Elsevier, vol. 63(C), pages 47-67.
- : Daniel J. Henderson & Chris Papageorgiou & Christopher F. Parmeter, 2012. "Who Benefits from Financial Development? New Methods, New Evidence," Working Papers 2013-07, University of Miami, Department of Economics.
- Ekpeno L. Effiong & Emmanuel E. Asuquo, 2017.
"Migrants' Remittances, Governance and Heterogeneity,"
International Economic Journal, Taylor & Francis Journals, vol. 31(4), pages 535-554, October.
- Effiong, Ekpeno L. & Asuquo, Emmanuel E., 2016. "Migrants' Remittances, Governance and Heterogeneity," MPRA Paper 74753, University Library of Munich, Germany.
- Li, Degui & Simar, Léopold & Zelenyuk, Valentin, 2016.
"Generalized nonparametric smoothing with mixed discrete and continuous data,"
Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 424-444.
- Li, Degui & Simar, Leopold & Zelenyuk, Valentin, 2016. "Generalized nonparametric smoothing with mixed discrete and continuous data," LIDAM Reprints ISBA 2016020, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Simar, Leopold & Zelenyuk, Valentin, 2011.
"To Smooth or Not to Smooth? The Case of Discrete Variables in Nonparametric Regressions,"
LIDAM Discussion Papers ISBA
2011042, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Valentin Zelenyuk & Leopold Simar, 2011. "To Smooth or Not to Smooth? The Case of Discrete Variables in Nonparametric Regressions," CEPA Working Papers Series WP102011, School of Economics, University of Queensland, Australia.
- Li, Degui & Simar, Leopold & Zelenyuk, Valentin, 2013. "To Smooth or Not to Smooth? The Case of Discrete Variables in Nonparametric Regression," LIDAM Discussion Papers ISBA 2013025, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Xibin Zhang & Maxwell L. King & Han Lin Shang, 2016.
"Bayesian Bandwidth Selection for a Nonparametric Regression Model with Mixed Types of Regressors,"
Econometrics, MDPI, vol. 4(2), pages 1-27, April.
- Xibin Zhang & Maxwell L. King & Han Lin Shang, 2013. "Bayesian bandwidth selection for a nonparametric regession model with mixed types of regressors," Monash Econometrics and Business Statistics Working Papers 13/13, Monash University, Department of Econometrics and Business Statistics.
- repec:jss:jstsof:27:i05 is not listed on IDEAS
- Zongwu Cai & Qi Li, 2013. "Some Recent Develop- ments on Nonparametric Econometrics," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
- Byeong Park & Léopold Simar & Valentin Zelenyuk, 2015.
"Categorical data in local maximum likelihood: theory and applications to productivity analysis,"
Journal of Productivity Analysis, Springer, vol. 43(2), pages 199-214, April.
- Park, Byeong U. & Simar, Leopold & Zelenyuk, Valentin, 2015. "Categorical data in local maximum likelihood: theory and applications to productivity analysis," LIDAM Reprints ISBA 2015018, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Hayfield, Tristen & Racine, Jeffrey S., 2008. "Nonparametric Econometrics: The np Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i05).
- Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
- Jeffrey Racine, 2008. "Nonparametric econometrics: a primer (in Russian)," Quantile, Quantile, issue 4, pages 7-56, March.
- Hans R. A. Koster & Jos N. van Ommeren & Piet Rietveld, 2016.
"Historic amenities, income and sorting of households,"
Journal of Economic Geography, Oxford University Press, vol. 16(1), pages 203-236.
- Koster, Hans R. A. & Rietveld, Piet & Van Ommeren, Jos, 2013. "Historic amenities, income and sorting of households," LSE Research Online Documents on Economics 58433, London School of Economics and Political Science, LSE Library.
- Hans R. A. Koster & Piet Rietveld & Jos Van Ommeren, 2013. "Historic Amenities, Income and Sorting of Households," SERC Discussion Papers 0124, Centre for Economic Performance, LSE.
- Qi Li & Juan Lin & Jeffrey S. Racine, 2013.
"Optimal Bandwidth Selection for Nonparametric Conditional Distribution and Quantile Functions,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(1), pages 57-65, January.
- Qi Li & Juan Lin & Jeffrey S. Racine, 2012. "Optimal Bandwidth Selection for Nonparametric Conditional Distribution and Quantile Functions," Department of Economics Working Papers 2012-10, McMaster University.
- Park, Byeong U. & Simar, Léopold & Zelenyuk, Valentin, 2017.
"Nonparametric estimation of dynamic discrete choice models for time series data,"
Computational Statistics & Data Analysis, Elsevier, vol. 108(C), pages 97-120.
- Byeong U. Park & Leopold Simar & Valentin Zelenyuk, 2016. "Nonparametric Estimation of Dynamic Discrete Choice Models for Time Series Data," CEPA Working Papers Series WP062016, School of Economics, University of Queensland, Australia.
- Park, Byeong U. & Simar, Leopold & Zelenyuk, Valentin, 2017. "Nonparametric estimation of dynamic discrete choice models for time series data," LIDAM Reprints ISBA 2017011, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Michael S. Delgado & Daniel J. Henderson & Christopher F. Parmeter, 2014.
"Does Education Matter for Economic Growth?,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(3), pages 334-359, June.
- Michael S. Delgado & Daniel J. Henderson & Christopher F. Parmeter, 2011. "Does Education Matter for Economic Growth?," Working Papers 2011-13, University of Miami, Department of Economics.
- Delgado, Michael S. & Henderson, Daniel J. & Parmeter, Christopher F., 2012. "Does Education Matter for Economic Growth?," IZA Discussion Papers 7089, Institute of Labor Economics (IZA).
- Nolwenn Roudaut & Anne Vanhems, 2012. "Explaining firms efficiency in the Ivorian manufacturing sector: a robust nonparametric approach," Journal of Productivity Analysis, Springer, vol. 37(2), pages 155-169, April.
- Daniel J. Henderson & Andrew Houtenville & Le Wang, 2017.
"The Distribution of Returns to Education for People with Disabilities,"
Journal of Labor Research, Springer, vol. 38(3), pages 261-282, September.
- Henderson, Daniel J. & Houtenville, Andrew & Wang, Le, 2017. "The Distribution of Returns to Education for People with Disabilities," IZA Discussion Papers 10747, Institute of Labor Economics (IZA).
- Chen, Xirong & Li, Degui & Li, Qi & Li, Zheng, 2019. "Nonparametric estimation of conditional quantile functions in the presence of irrelevant covariates," Journal of Econometrics, Elsevier, vol. 212(2), pages 433-450.
More about this item
Keywords
Classification; Nonparametric regression; Multivariate functional predictors; Multivariate categorical predictors; Multi-class response; Variable selection;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:advdac:v:17:y:2023:i:2:d:10.1007_s11634-022-00513-7. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.