Sliced inverse regression in reference curves estimation

DOI10.1016/S0167-9473(03)00141-5zbMath1429.62138OpenAlexW2086784714MaRDI QIDQ956902

Christiane Guinot, Ali Gannoun, Jérôme Saracco, Stéphane Girard

Publication date: 26 November 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-9473(03)00141-5

zbMATH Keywords

kernel estimationdimension reductionconditional quantilessliced inverse regression (SIR)semiparametric methodreference curves

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items

A new sliced inverse regression method for multivariate response ⋮ Extreme Quantile Estimation Based on the Tail Single-index Model ⋮ Variable selection in the single-index quantile regression model with high-dimensional covariates ⋮ Optimal quantization applied to sliced inverse regression ⋮ Tail dimension reduction for extreme quantile estimation ⋮ Sliced inverse regression in reference curves estimation ⋮ Self-organizing map visualizing conditional quantile functions with multidimensional covariates ⋮ Non-iterative Estimation and Variable Selection in the Single-index Quantile Regression Model ⋮ Overlapping sliced inverse regression for dimension reduction ⋮ Asymptotics for pooled marginal slicing estimator based on SIR\(_\alpha\) approach

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