On the Bahadur representation of sample quantiles for sequences of [phi]-mixing random variables
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- Ghalibaf, M. Bolbolian & Fakoor, V. & Azarnoosh, H.A., 2010. "Strong Gaussian approximations of product-limit and quantile processes for truncated data under strong mixing," Statistics & Probability Letters, Elsevier, vol. 80(7-8), pages 581-586, April.
- Coeurjolly, Jean-François, 2008. "Bahadur representation of sample quantiles for functional of Gaussian dependent sequences under a minimal assumption," Statistics & Probability Letters, Elsevier, vol. 78(15), pages 2485-2489, October.
- Ho, Hwai-Chung, 2015. "Sample quantile analysis for long-memory stochastic volatility models," Journal of Econometrics, Elsevier, vol. 189(2), pages 360-370.
- Ajami, M. & Fakoor, V. & Jomhoori, S., 2011. "The Bahadur representation for kernel-type estimator of the quantile function under strong mixing and censored data," Statistics & Probability Letters, Elsevier, vol. 81(8), pages 1306-1310, August.
- L. Jeff Hong, 2009. "Estimating Quantile Sensitivities," Operations Research, INFORMS, vol. 57(1), pages 118-130, February.
- Dominicy, Yves & Hörmann, Siegfried & Ogata, Hiroaki & Veredas, David, 2013.
"On sample marginal quantiles for stationary processes,"
Statistics & Probability Letters,
Elsevier, vol. 83(1), pages 28-36.
- Yves Dominicy & Siegfried Hörmann & Hiroaki Ogata & David Veredas, 2013. "On sample marginal quantiles for stationary processes," ULB Institutional Repository 2013/136283, ULB -- Universite Libre de Bruxelles.
- Chen, E. Jack & Kelton, W. David, 2006. "Quantile and tolerance-interval estimation in simulation," European Journal of Operational Research, Elsevier, vol. 168(2), pages 520-540, January.
- Wendler, Martin, 2011. "Bahadur representation for U-quantiles of dependent data," Journal of Multivariate Analysis, Elsevier, vol. 102(6), pages 1064-1079, July.
- Bernd Heidergott & Warren Volk-Makarewicz, 2013. "A Measure-Valued Differentiation Approach to Sensitivity Analysis of Quantiles," Tinbergen Institute Discussion Papers 13-082/III, Tinbergen Institute.
- Lin Fan & Peter W. Glynn & Markus Pelger, 2018. "Change-Point Testing and Estimation for Risk Measures in Time Series," Papers 1809.02303, arXiv.org.
- Qinchi Zhang & Wenzhi Yang & Shuhe Hu, 2014. "On Bahadur representation for sample quantiles under α-mixing sequence," Statistical Papers, Springer, vol. 55(2), pages 285-299, May.
- Bernd Heidergott & Warren Volk-Makarewicz, 2016. "A Measure-Valued Differentiation Approach to Sensitivities of Quantiles," Mathematics of Operations Research, INFORMS, vol. 41(1), pages 293-317, February.
- Dembińska, Anna, 2014. "Asymptotic behavior of central order statistics from stationary processes," Stochastic Processes and their Applications, Elsevier, vol. 124(1), pages 348-372.
- Yoshihara, Ken-ichi, 1995. "The Bahadur representation of sample quantiles for sequences of strongly mixing random variables," Statistics & Probability Letters, Elsevier, vol. 24(4), pages 299-304, September.
More about this item
KeywordsAlmost-sure representation asymptotic normality empirical distribution functional central limit theorem [phi]-mixing processes law of iterated logarithm sample quantiles;
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