Sharp template estimation in a shifted curves model
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Publication:1952089
DOI10.1214/10-EJS576zbMath1329.62182arXiv0911.1684OpenAlexW2952163420MaRDI QIDQ1952089
Sébastien Gadat, Clément Marteau, Jérémie Bigot
Publication date: 27 May 2013
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/0911.1684
inverse problemadaptive estimationoracle inequalityrandom operatorcurve alignmenttemplate estimation
Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Approximation with constraints (41A29)
Uses Software
Cites Work
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- On the optimal rates of convergence for nonparametric deconvolution problems
- Efficient estimation for a subclass of shape invariant models
- A deconvolution approach to estimation of a common shape in a shifted curves model
- On the stability of the risk hull method for projection estimators
- Statistical tools to analyze data representing a sample of curves
- Asymptotic equivalence of nonparametric regression and white noise
- Alignment of curves by dynamic time warping
- Applied functional data analysis. Methods and case studies
- Oracle inequalities for inverse problems
- Sharp adaptation for inverse problems with random noise
- Nonlinear solution of linear inverse problems by wavelet-vaguelette decomposition
- Convergence and consistency results for self-modeling nonlinear regression
- Semi-parametric estimation of shifts
- Estimation of the distribution of random shifts deformation
- Nonlinear estimation for linear inverse problems with error in the operator
- Functional data analysis.
- Penalized maximum likelihood and semiparametric second-order efficiency
- Searching for Structure in Curve Sample
- Estimation of Translation, Rotation, and Scaling between Noisy Images Using the Fourier–Mellin Transform
- On inverse problems with unknown operators
- Wavelet Deconvolution With Noisy Eigenvalues
- Semiparametric Curve Alignment and Shift Density Estimation for Biological Data
- Adaptive estimation for inverse problems with noisy operators
- Functional Convex Averaging and Synchronization for Time-Warped Random Curves
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