Curve registration by nonparametric goodness-of-fit testing
From MaRDI portal
Publication:2348101
DOI10.1016/j.jspi.2015.02.004zbMath1314.62108arXiv1104.4210OpenAlexW2144172621MaRDI QIDQ2348101
Arnak S. Dalalyan, Olivier Collier
Publication date: 10 June 2015
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1104.4210
Related Items
Estimating linear functionals of a sparse family of Poisson means, Comparing time varying regression quantiles under shift invariance, Bayesian methods for the shape invariant model, Identifying shifts between two regression curves, Central limit theorem and bootstrap procedure for Wasserstein's variations with an application to structural relationships between distributions, Multidimensional linear functional estimation in sparse Gaussian models and robust estimation of the mean
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- A semiparametric Bernstein-von Mises theorem for Gaussian process priors
- Nonparametric hypothesis testing for intensity of the Poisson process
- Asymptotic statistical equivalence for ergodic diffusions: the multidimensional case
- Semiparametric comparison of regression curves
- Asymptotic equivalence for nonparametric regression with multivariate and random design
- Efficient estimation for a subclass of shape invariant models
- A deconvolution approach to estimation of a common shape in a shifted curves model
- Nonparametric comparison of regression functions
- Statistical M-estimation and consistency in large deformable models for image warping
- Estimating the period of a signal of unknown shape corrupted by white noise
- Statistical tools to analyze data representing a sample of curves
- Nonparametric comparison of several regression functions: Exact and asymptotic theory
- Asymptotic equivalence of nonparametric regression and white noise
- Asymptotic equivalence of density estimation and Gaussian white noise
- Asymptotic equivalence for nonparametric generalized linear models
- Adaptive tests of linear hypotheses by model selection
- Nonparametric comparison of regression curves: An empirical process approach
- Testing convex hypotheses on the mean of a Gaussian vector. Application to testing qualitative hypotheses on a regression function
- Adaptive estimation of a quadratic functional by model selection.
- Generalized likelihood ratio statistics and Wilks phenomenon
- Nonparametric goodness-of-fit testing under Gaussian models
- Minimax hypothesis testing for curve registration
- Minimax testing of a composite null hypothesis defined via a quadratic functional in the model of regression
- Semi-parametric estimation of shifts
- Estimation of the distribution of random shifts deformation
- Stein shrinkage and second-order efficiency for semiparametric estimation of the shift
- Semi-parametric second-order efficient estimation of the period of a signal
- Nonparametric inference with generalized likelihood ratio tests (With comments and rejoinder)
- Penalized maximum likelihood and semiparametric second-order efficiency
- Adaptive minimax testing in the discrete regression scheme
- Nonparametric Maximum Likelihood Estimation for Shifted Curves
- A Penalized Likelihood Approach to Image Warping
- Estimation of Translation, Rotation, and Scaling between Noisy Images Using the Fourier–Mellin Transform
- Road trafficking description and short term travel time forecasting, with a classification method
- Sojourns and extremes of a stochastic process defined as a random linear combination of arbitrary functions
- An Adaptive, Rate-Optimal Test of a Parametric Mean-Regression Model Against a Nonparametric Alternative
- Semiparametric Curve Alignment and Shift Density Estimation for Biological Data
- SEMIPARAMETRIC COMPARISON OF REGRESSION CURVES VIA NORMAL LIKELIHOODS
