Expectiles and \(M\)-quantiles are quantiles
From MaRDI portal
Publication:1332873
DOI10.1016/0167-7152(94)90031-0zbMath0801.62012OpenAlexW2044551864MaRDI QIDQ1332873
Publication date: 4 December 1994
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0167-7152(94)90031-0
Related Items
Expectiles, omega ratios and stochastic ordering, Distributed optimization and statistical learning for large-scale penalized expectile regression, Point forecasting and forecast evaluation with generalized Huber loss, Simultaneous confidence bands for expectile functions, Marginal M-quantile regression for multivariate dependent data, Spatial expectile predictions for elliptical random fields, On the computation of multivariate scenario sets for the skew-\(t\) and generalized hyperbolic families, Variable selection in expectile regression, A class of distortion measures generated from expectile and its estimation, The consistency and asymptotic normality of the kernel type expectile regression estimator for functional data, On automatic bias reduction for extreme expectile estimation, Data-driven and distribution-free estimation of tailed-related risks for GARCH models using composite asymmetric least squares regression, Comparison of \(L_p\)-quantiles and related skewness measures, Random distributions via sequential quantile array, Pseudo-quantile functional data clustering, Penalized expectile regression: an alternative to penalized quantile regression, Dynamic semi-parametric factor model for functional expectiles, Composite bias‐reduced Lp‐quantile‐based estimators of extreme quantiles and expectiles, Variable selection and debiased estimation for single‐index expectile model, Generalised M‐quantile random‐effects model for discrete response: An application to the number of visits to physicians, Stochastic orders and measures of skewness and dispersion based on expectiles, Weighted expectile regression with covariates missing at random, Dimension reduction techniques for conditional expectiles, Comparative study and sensitivity analysis of skewed spatial processes, Retire: robust expectile regression in high dimensions, Parametric expectile regression and its application for premium calculation, Inference for extremal regression with dependent heavy-tailed data, Extreme M-quantiles as risk measures: from \(L^{1}\) to \(L^{p}\) optimization, On \(M\)-estimators and normal quantiles., Dual representation of expectile-based expected shortfall and its properties, Smooth expectiles for panel data using penalized splines, Finite mixtures of quantile and M-quantile regression models, A dynamic autoregressive expectile for time-invariant portfolio protection strategies, Optimal expectile smoothing, Generalized quantiles as risk measures, Isotonicity properties of generalized quantiles, Shadow prices and marginal abatement costs: convex quantile regression approach, Local polynomial expectile regression, Expectile depth: theory and computation for bivariate datasets, Functional data analysis of generalized regression quantiles, Quantity quantiles linear regression, Skew exponential power stochastic volatility model for analysis of skewness, non-normal tails, quantiles and expectiles, On confidence intervals for semiparametric expectile regression, Expectile and quantile regression—David and Goliath?, Nonparametric multiple expectile regression via ER-Boost, On the estimation of the variability in the distribution tail, TERES: Tail Event Risk Expectile Shortfall, The functional \(k\mathrm{NN}\) estimator of the conditional expectile: uniform consistency in number of neighbors, Dynamic large financial networks \textit{via} conditional expected shortfalls, Financial risk meter FRM based on expectiles, Extremiles: A New Perspective on Asymmetric Least Squares, The relationship between longevity and lifespan variation, On the nonparametric estimation of the functional expectile regression, Binary quantile regression and variable selection: A new approach, An elastic-net penalized expectile regression with applications, Local linear estimate of the functional expectile regression, Extreme $$L^p$$-quantile Kernel Regression, Nonparametric estimation of expectile regression in functional dependent data
Cites Work
- Asymmetric Least Squares Estimation and Testing
- Generalized order statistics, Bahadur representations, and sequential nonparametric fixed-width confidence intervals
- Some results on generalized regression quantiles
- M-quantiles
- Poisson Overdispersion Estimates Based on the Method of Asymmetric Maximum Likelihood
- Regression Quantiles
- Robust Statistics