Deprecated: $wgMWOAuthSharedUserIDs=false is deprecated, set $wgMWOAuthSharedUserIDs=true, $wgMWOAuthSharedUserSource='local' instead [Called from MediaWiki\HookContainer\HookContainer::run in /var/www/html/w/includes/HookContainer/HookContainer.php at line 135] in /var/www/html/w/includes/Debug/MWDebug.php on line 372
A Sturdy Reduced-Bias Extreme Quantile (VaR) Estimator - MaRDI portal

A Sturdy Reduced-Bias Extreme Quantile (VaR) Estimator

From MaRDI portal
Publication:5307705

DOI10.1198/016214506000000799zbMath1284.62300OpenAlexW1971153697MaRDI QIDQ5307705

Dinis Pestana, M. Ivette Gomes

Publication date: 18 September 2007

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1198/016214506000000799




Related Items

Reduced-bias and partially reduced-bias mean-of-order-p value-at-risk estimation: a Monte-Carlo comparison and an applicationA new partially reduced-bias mean-of-order \(p\) class of extreme value index estimatorsBias correction in extreme value statistics with index around zeroNew Reduced-bias Estimators of a Positive Extreme Value IndexA Mean-of-Order-$$p$$ Class of Value-at-Risk EstimatorsESTIMATION OF RISK MEASURES FROM HEAVY TAILED DISTRIBUTIONSMean-of-order \(p\) reduced-bias extreme value index estimation under a third-order frameworkOn the comparison of several classical estimators of the extreme value indexImproved inference on risk measures for univariate extremesEstimation and inference about tail features with tail censored dataOn automatic bias reduction for extreme expectile estimationCorrected-Hill versus partially reduced-bias value-at-risk estimationSemi-parametric tail inference through probability-weighted momentsSemi-parametric second-order reduced-bias high quantile estimationComposite bias‐reduced Lp‐quantile‐based estimators of extreme quantiles and expectilesExtreme Value Theory and Statistics of Univariate Extremes: A ReviewEstimation of extreme quantiles from heavy-tailed distributions with neural networksAn interview with Ivette GomesMixed moment estimator and location invariant alternativesRegional extreme value index estimation and a test of tail homogeneityA refined Weissman estimator for extreme quantilesInference for extremal regression with dependent heavy-tailed dataLocation invariant Weiss-Hill estimatorAdaptive estimation of heavy right tails: resampling-based methods in actionPORT Hill and Moment Estimators for Heavy-Tailed ModelsSemi-parametric probability-weighted moments estimation revisitedUniform in bandwidth consistency of kernel estimators of the tail indexEVT-based estimation of risk capital and convergence of high quantilesRobust and asymptotically unbiased estimation of extreme quantiles for heavy tailed distributionsAdaptive PORT-MVRB Estimation of the Extreme Value IndexSubsampling extremes: from block maxima to smooth tail estimationImproved reduced-bias tail index and quantile estimatorsGeneralized Jackknife-Based Estimators for Univariate Extreme-Value ModelingBias reduction for high quantilesTail index and second-order parameters’ semi-parametric estimation based on the log-excessesKernel-type estimator of the conditional tail expectation for a heavy-tailed distributionThe Latest Advances on the Hill Estimator and Its ModificationsA practical method for analysing heavy tailed dataThreshold selection and trimming in extremesA simple generalisation of the Hill estimatorStatistics of extremes for IID data and breakthroughs in the estimation of the extreme value index: Laurens de Haan leading contributionsTail index estimation for heavy tails; accommodation of bias in the excesses over a high thresholdA note on the asymptotic variance at optimal levels of a bias-corrected Hill estimatorReduced-Bias Tail Index Estimators Under a Third-Order FrameworkBias reduction in the estimation of a shape second-order parameter of a heavy-tailed modelSubsampling techniques and the jackknife methodology in the estimation of the extremal indexAdaptive Reduced-Bias Tail Index and VaR Estimation via the Bootstrap MethodologyEstimation of Extreme Conditional Quantiles Through Power TransformationAdaptive PORT–MVRB estimation: an empirical comparison of two heuristic algorithmsThe MOP EVI-Estimator RevisitedA computational study of a quasi-PORT methodology for VaR based on second-order reduced-bias estimation