A nonparametric conditional mode estimate
Author
Abstract
Suggested Citation
DOI: 10.1080/10485259708832723
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
- Roussas, George G., 1990. "Nonparametric regression estimation under mixing conditions," Stochastic Processes and their Applications, Elsevier, vol. 36(1), pages 107-116, October.
- Vieu, Philippe, 1996. "A note on density mode estimation," Statistics & Probability Letters, Elsevier, vol. 26(4), pages 297-307, March.
- Young Truong, 1994. "Nonparametric time series regression," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 46(2), pages 279-293, June.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Kemp, Gordon C.R. & Santos Silva, J.M.C., 2012.
"Regression towards the mode,"
Journal of Econometrics, Elsevier, vol. 170(1), pages 92-101.
- Kemp, GCR & Santos Silva, JMC, 2010. "Regression towards the mode," Economics Discussion Papers 5757, University of Essex, Department of Economics.
- Salim Bouzebda & Christophe Chesneau, 2020. "A Note on the Nonparametric Estimation of the Conditional Mode by Wavelet Methods," Stats, MDPI, vol. 3(4), pages 1-9, October.
- Hsu, Chih-Yuan & Wu, Tiee-Jian, 2013. "Efficient estimation of the mode of continuous multivariate data," Computational Statistics & Data Analysis, Elsevier, vol. 63(C), pages 148-159.
- Ho, Chi-san & Damien, Paul & Walker, Stephen, 2017. "Bayesian mode regression using mixtures of triangular densities," Journal of Econometrics, Elsevier, vol. 197(2), pages 273-283.
- Gneyou, Kossi Essona, 2014. "A strong linear representation for the maximum conditional hazard rate estimator in survival analysis," Journal of Multivariate Analysis, Elsevier, vol. 128(C), pages 10-18.
- Said Attaoui, 2014. "Strong uniform consistency rates and asymptotic normality of conditional density estimator in the single functional index modeling for time series data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 98(3), pages 257-286, July.
- Quintela-del-Río, A., 2006. "Nonparametric estimation of the maximum hazard under dependence conditions," Statistics & Probability Letters, Elsevier, vol. 76(11), pages 1117-1124, June.
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.- Eunju Hwang & Dong Shin, 2016. "Kernel estimators of mode under $$\psi $$ ψ -weak dependence," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 68(2), pages 301-327, April.
- Guangwu Liu & Liu Jeff Hong, 2009. "Kernel estimation of quantile sensitivities," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(6), pages 511-525, September.
- Khardani, Salah & Yao, Anne Françoise, 2022. "Nonparametric recursive regression estimation on Riemannian Manifolds," Statistics & Probability Letters, Elsevier, vol. 182(C).
- Cai, Zongwu, 2003. "Nonparametric estimation equations for time series data," Statistics & Probability Letters, Elsevier, vol. 62(4), pages 379-390, May.
- Gao, Jiti & Kanaya, Shin & Li, Degui & Tjøstheim, Dag, 2015.
"Uniform Consistency For Nonparametric Estimators In Null Recurrent Time Series,"
Econometric Theory, Cambridge University Press, vol. 31(5), pages 911-952, October.
- Jiti Gao & Degui Li & Dag Tjostheim, 2009. "Uniform Consistency for Nonparametric Estimators in Null Recurrent Time Series," School of Economics and Public Policy Working Papers 2009-26, University of Adelaide, School of Economics and Public Policy.
- Jiti Gao & Shin Kanaya & Degui Li & Dag Tjøstheim, 2013. "Uniform Consistency for Nonparametric Estimators in Null Recurrent Time Series," CREATES Research Papers 2013-29, Department of Economics and Business Economics, Aarhus University.
- Jiti Gao & Degui Li & Dag Tjøstheim, 2011. "Uniform Consistency for Nonparametric Estimators in Null Recurrent Time Series," Monash Econometrics and Business Statistics Working Papers 13/11, Monash University, Department of Econometrics and Business Statistics.
- Aboubacar Amiri, 2013. "Asymptotic normality of recursive estimators under strong mixing conditions," Statistical Inference for Stochastic Processes, Springer, vol. 16(2), pages 81-96, July.
- Masry, Elias, 2003. "Local polynomial fitting under association," Journal of Multivariate Analysis, Elsevier, vol. 86(2), pages 330-359, August.
- Daouia, Abdelaati & Stupfler, Gilles & Usseglio-Carleve, Antoine, 2022.
"Inference for extremal regression with dependent heavy-tailed data,"
TSE Working Papers
22-1324, Toulouse School of Economics (TSE), revised 29 Aug 2023.
- Abdelaati Daouia & Gilles Claude Stupfler & Antoine Usseglio-Carleve, 2023. "Inference for extremal regression with dependent heavy-tailed data," Post-Print hal-04554050, HAL.
- Arif Dowla & Efstathios Paparoditis & Dimitris Politis, 2013. "Local block bootstrap inference for trending time series," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 76(6), pages 733-764, August.
- Li, Degui & Phillips, Peter C. B. & Gao, Jiti, 2016.
"Uniform Consistency Of Nonstationary Kernel-Weighted Sample Covariances For Nonparametric Regression,"
Econometric Theory, Cambridge University Press, vol. 32(3), pages 655-685, June.
- Degui Li & Peter C. B. Phillips & Jiti Gao, 2013. "Uniform Consistency of Nonstationary Kernel-Weighted Sample Covariances for Nonparametric Regression," Monash Econometrics and Business Statistics Working Papers 27/13, Monash University, Department of Econometrics and Business Statistics.
- Degui Li & Peter C.B. Phillips & Jiti Gao, 2013. "Uniform Consistency of Nonstationary Kernel-Weighted Sample Covariances for Nonparametric Regression," Cowles Foundation Discussion Papers 1929, Cowles Foundation for Research in Economics, Yale University.
- Hsu, Chih-Yuan & Wu, Tiee-Jian, 2013. "Efficient estimation of the mode of continuous multivariate data," Computational Statistics & Data Analysis, Elsevier, vol. 63(C), pages 148-159.
- Liebscher, Eckhard, 1999. "Asymptotic normality of nonparametric estimators under [alpha]-mixing condition," Statistics & Probability Letters, Elsevier, vol. 43(3), pages 243-250, July.
- Said Attaoui & Nengxiang Ling, 2016. "Asymptotic results of a nonparametric conditional cumulative distribution estimator in the single functional index modeling for time series data with applications," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 79(5), pages 485-511, July.
- Masry, Elias, 2005. "Nonparametric regression estimation for dependent functional data: asymptotic normality," Stochastic Processes and their Applications, Elsevier, vol. 115(1), pages 155-177, January.
- Seok Young Hong & Oliver Linton, 2016.
"Asymptotic properties of a Nadaraya-Watson type estimator for regression functions of in?finite order,"
CeMMAP working papers
CWP53/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Seok Young Hong & Oliver Linton, 2016. "Asymptotic properties of a Nadaraya-Watson type estimator for regression functions of in finite order," CeMMAP working papers 53/16, Institute for Fiscal Studies.
- Jing Wang, 2012. "Modelling time trend via spline confidence band," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 64(2), pages 275-301, April.
- Masry, Elias, 2011. "The estimation of the correlation coefficient of bivariate data under dependence: Convergence analysis," Statistics & Probability Letters, Elsevier, vol. 81(8), pages 1039-1045, August.
- Horová Ivana & Vieu Philippe & Zelinka Jiří, 2002. "Optimal Choice Of Nonparametric Estimates Of A Density And Of Its Derivatives," Statistics & Risk Modeling, De Gruyter, vol. 20(1-4), pages 355-378, April.
- Kunhui Zhang & Yen-Chi Chen, 2021. "Refined Mode-Clustering via the Gradient of Slope," Stats, MDPI, vol. 4(2), pages 1-23, June.
- Liebscher E., 2001. "Estimation Of The Density And The Regression Function Under Mixing Conditions," Statistics & Risk Modeling, De Gruyter, vol. 19(1), pages 9-26, January.
Corrections
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:taf:gnstxx:v:8:y:1997:i:3:p:253-266. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GNST20 .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.