The Local Bootstrap for Kernel Estimators under General Dependence Conditions
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DOI: 10.1023/A:1004193117918
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- Sheng Shi, 1991. "Local bootstrap," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 43(4), pages 667-676, December.
- M. Rajarshi, 1990. "Bootstrap in Markov-sequences based on estimates of transition density," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 42(2), pages 253-268, June.
- Neumann, Michael H., 1997. "On robustness of model-based bootstrap schemes in nonparametric time series analysis," SFB 373 Discussion Papers 1997,88, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Joseph Romano, 1988. "Bootstrapping the mode," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 40(3), pages 565-586, September.
- Masry, Elias & Tjøstheim, Dag, 1995. "Nonparametric Estimation and Identification of Nonlinear ARCH Time Series Strong Convergence and Asymptotic Normality: Strong Convergence and Asymptotic Normality," Econometric Theory, Cambridge University Press, vol. 11(2), pages 258-289, February.
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- Bouezmarni, Taoufik, 2012. "Nonparametric tests for conditional independence using conditional distributions," UC3M Working papers. Economics we1217, Universidad Carlos III de Madrid. Departamento de EconomÃa.
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"Nonparametric Copula-Based Test for Conditional Independence with Applications to Granger Causality,"
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- BOUEZMARNI, Taoufik & ROMBOUTS, Jeroen & TAAMOUTI, Abderrahim, 2009. "A nonparametric copula based test for conditional independence with applications to Granger causality," LIDAM Discussion Papers CORE 2009041, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Bouezmarni, Taoufik & Rombouts, Jeroen V. K., 2009. "A nonparametric copula based test for conditional independence with applications to granger causality," UC3M Working papers. Economics we093419, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Taoufik Bouezmarni & Jeroen Rombouts & Abderrahim Taamouti, 2009. "A Nonparametric Copula Based Test for Conditional Independence with Applications to Granger Causality," CIRANO Working Papers 2009s-28, CIRANO.
- Taoufik Bouezmarni & Jeroen V.K. Rombouts & Abderrahim Taamouti, 2009. "A Nonparametric Copula Based Test for Conditional Independence with Applications to Granger Causality," Cahiers de recherche 0927, CIRPEE.
- Su, Liangjun & White, Halbert, 2007.
"A consistent characteristic function-based test for conditional independence,"
Journal of Econometrics, Elsevier, vol. 141(2), pages 807-834, December.
- Su, Liangjun & White, Halbert, 2003. "A Consistent Characteristic-Function-Based Test for Conditional Independence," University of California at San Diego, Economics Working Paper Series qt4dv0837f, Department of Economics, UC San Diego.
- Peter Buhlmann, 2007. "Bootstrap schemes for time series (in Russian)," Quantile, Quantile, issue 3, pages 37-56, September.
- Taamouti, Abderrahim & Bouezmarni, Taoufik & El Ghouch, Anouar, 2014.
"Nonparametric estimation and inference for conditional density based Granger causality measures,"
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- Taamouti, Abderrahim & Bouezmarni, Taoufik & El Ghouch, Anouar, 2014. "Nonparametric estimation and inference for conditional density based Granger causality measures," LIDAM Reprints ISBA 2014025, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Roberto Fuentes M. & Irene Crimaldi & Armando Rungi, 2024. "Non-linear dependence and Granger causality: A vine copula approach," Papers 2409.15070, arXiv.org.
- Chen, Bin & Hong, Yongmiao, 2012. "Testing For The Markov Property In Time Series," Econometric Theory, Cambridge University Press, vol. 28(1), pages 130-178, February.
- Maria Parrella & Cosimo Vitale, 2007. "Bootstrap inference in local polynomial regression of time series," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 16(1), pages 117-139, June.
- Su, Liangjun & White, Halbert, 2014.
"Testing conditional independence via empirical likelihood,"
Journal of Econometrics, Elsevier, vol. 182(1), pages 27-44.
- Su, Liangjun & White, Halbert, 2003. "Testing Conditional Independence Via Empirical Likelihood," University of California at San Diego, Economics Working Paper Series qt35v8g0fm, Department of Economics, UC San Diego.
- repec:cte:werepe:we1237 is not listed on IDEAS
- repec:cte:werepe:we1211 is not listed on IDEAS
- Bouezmarni, Taoufik & El Ghouch, Anouar, 2012.
"Nonparametric estimation and inference for Granger causality measures,"
UC3M Working papers. Economics
14150, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Taamouti, Abderrahim & Bouezmarni, Taoufik & El Ghouch, Anouar, 2012. "Nonparametric Estimation and Inference for Granger Causality Measures," LIDAM Discussion Papers ISBA 2012009, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Cheng, Yu-Hsiang & Huang, Tzee-Ming, 2012. "A conditional independence test for dependent data based on maximal conditional correlation," Journal of Multivariate Analysis, Elsevier, vol. 107(C), pages 210-226.
- Piotr Gurgul & Robert Syrek, 2013. "Testing of Dependencies between Stock Returns and Trading Volume by High Frequency Data," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 11(4 (Winter), pages 353-373.
- Gonzalo Jesús & Taamouti Abderrahim, 2017. "The reaction of stock market returns to unemployment," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(4), pages 1-20, September.
- 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.
- repec:cte:werepe:24120 is not listed on IDEAS
- Lazarova, Stepana, 2005. "Testing for structural change in regression with long memory processes," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 329-372.
- Jang, Hyuna & Kim, Jong-Min & Noh, Hohsuk, 2022. "Vine copula Granger causality in mean," Economic Modelling, Elsevier, vol. 109(C).
- repec:cte:werepe:we1212 is not listed on IDEAS
- repec:cte:werepe:we1145 is not listed on IDEAS
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Keywords
Resampling; confidence intervals; dependence; nonparametric estimators;All these keywords.
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