Conditional quantile estimation based on optimal quantization: from theory to practice
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Publication:1663189
DOI10.1016/j.csda.2015.05.008zbMath1470.62016OpenAlexW1821388077MaRDI QIDQ1663189
Isabelle Charlier, Davy Paindaveine, Jérôme Saracco
Publication date: 21 August 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://dipot.ulb.ac.be/dspace/bitstream/2013/174929/1/2014-39-CHARLIER_PAINDAVEINE_SARACCO-conditional.pdf
Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Density estimation (62G07)
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- Conditional quantile estimation through optimal quantization
- Local linear spatial quantile regression
- Nonparametric estimates of regression quantiles and their local Bahadur representation
- Kernel and nearest-neighbor estimation of a conditional quantile
- Exact mean integrated squared error
- A space quantization method for numerical integration
- A distribution-free theory of nonparametric regression
- Foundations of quantization for probability distributions
- Optimal convergence rates, Bahadur representation, and asymptotic normality of partitioning estimators
- Rates of convergence for partitioning and nearest neighbor regression estimates with unbounded data
- Quantile and Probability Curves Without Crossing
- Local Linear Quantile Regression
- Regression Quantiles
- Bivariate Quantile Smoothing Splines
- Quantile smoothing splines
- Optimal quadratic quantization for numerics: the Gaussian case
- EFFICIENT SEMIPARAMETRIC ESTIMATION OF A PARTIALLY LINEAR QUANTILE REGRESSION MODEL
- Penalized Triograms: Total Variation Regularization for Bivariate Smoothing
- Nonparametric Estimation of an Additive Quantile Regression Model
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