Warped bases for conditional density estimation
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Publication:2439928
DOI10.3103/S1066530713040017zbMath1418.62132OpenAlexW2024554257MaRDI QIDQ2439928
Publication date: 26 March 2014
Published in: Mathematical Methods of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3103/s1066530713040017
Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)
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Cites Work
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- Bandwidth selection in kernel density estimation: oracle inequalities and adaptive minimax optimality
- Monotone nonparametric regression with random design
- Slope heuristics: overview and implementation
- A quantile-copula approach to conditional density estimation
- Oracle inequality for conditional density estimation and an actuarial example
- Approximating conditional density functions using dimension reduction
- On almost sure convergence of conditional empirical distribution functions
- Conditional empirical processes
- Minimum contrast estimators on sieves: Exponential bounds and rates of convergence
- Risk bounds for model selection via penalization
- Nonparametric curve estimation. Methods, theory, and applications
- Wavelet characterizations for anisotropic Besov spaces
- Regression in random design and warped wavelets
- Concentration around the mean for maxima of empirical processes
- Inhomogeneous and anisotropic conditional density estimation from dependent data
- Adaptive estimation of the transition density of a Markov chain
- Conditional density estimation in a regression setting
- A maxiset approach of a Gaussian noise model
- Adaptive estimation of the transition density of a particular hidden Markov chain
- A crossvalidation method for estimating conditional densities
- Asymptotic Minimax Character of the Sample Distribution Function and of the Classical Multinomial Estimator
- Nonparametric Conditional Density Estimation Using Piecewise-Linear Solution Path of Kernel Quantile Regression
- Estimation of conditional densities and sensitivity measures in nonlinear dynamical systems
- Fitting Heteroscedastic Regression Models
- On Conditional Density Estimation
- Methods for Estimating a Conditional Distribution Function
- Nonparametric Estimation and Symmetry Tests for Conditional Density Functions
- Dimension Reduction and Adaptation in Conditional Density Estimation
- PenalizationversusGoldenshluger − Lepski strategies in warped bases regression
- Laws of iterated logarithm and related asymptotics for estimators of conditional density and mode
- Bandwidth selection for kernel conditional density estimation.