The asymptotic distribution of the unconditional quantile estimator under dependence
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Cited by:
- 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.
- Diks, Cees & Panchenko, Valentyn & van Dijk, Dick, 2011.
"Likelihood-based scoring rules for comparing density forecasts in tails,"
Journal of Econometrics, Elsevier, vol. 163(2), pages 215-230, August.
- Cees Diks & Valentyn Panchenko & Dick van Dijk, 2011. "Likelihood-based scoring rules for comparing density forecasts in tails," Post-Print hal-00834423, HAL.
- Oberhofer, Walter & Haupt, Harry, 2005. "Consistency of nonlinear regression quantiles under Type I censoring weak dependence and general covariate design," University of Regensburg Working Papers in Business, Economics and Management Information Systems 406, University of Regensburg, Department of Economics.
- repec:hal:journl:peer-00834423 is not listed on IDEAS
- Oberhofer, Walter & Haupt, Harry, 2003. "Nonlinear quantile regression under dependence and heterogeneity," University of Regensburg Working Papers in Business, Economics and Management Information Systems 388, University of Regensburg, Department of Economics.
- Lajos Horváth & Gregory Rice, 2014. "Extensions of some classical methods in change point analysis," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 23(2), pages 219-255, June.
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Keywords
Parametric quantile estimator Mixing Convex stochastic optimization;Statistics
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