Nonparametric maximum likelihood estimation of randomly time-transformed curves

DOI10.1214/08-BJPS004zbMath1298.62058OpenAlexW2028842966MaRDI QIDQ462973

Birgitte B. Rønn, Ib Michael Skovgaard

Publication date: 22 October 2014

Published in: Brazilian Journal of Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.bjps/1245351235

Mathematics Subject Classification ID

Numerical smoothing, curve fitting (65D10) Nonparametric estimation (62G05) Applications of statistics (62P99)

Uses Software

• fda (R)

Cites Work

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• Adaptive basis selection for functional data analysis via stochastic penalization
• Von Mises calculus for statistical functionals
• Optimal rates of convergence for nonparametric estimators
• Statistical tools to analyze data representing a sample of curves
• Functional data analysis
• Alignment of curves by dynamic time warping
• Applied functional data analysis. Methods and case studies
• Asymptotic theory for the correlated gamma-frailty model
• Asymptotic theory for the frailty model
• Model estimation in nonlinear regression under shape invariance
• Nonparametric Maximum Likelihood Estimation for Shifted Curves
• Self Modeling with Flexible, Random Time Transformations
• Nonparametric maximum likelihood estimation of the structural mean of a sample of curves
• Curve Registration
• Smoothing Spline Models for the Analysis of Nested and Crossed Samples of Curves
• Self Modeling Nonlinear Regression
• Amendments and Corrections
• Functional Convex Averaging and Synchronization for Time-Warped Random Curves

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