Estimation of a Cumulative Distribution Function Under Interval Censoring “case 1” Via Warped Wavelets

DOI10.1080/03610926.2013.851231zbMath1327.62200OpenAlexW2087907268MaRDI QIDQ3458107

Christophe Chesneau, Thomas Willer

Publication date: 8 December 2015

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2013.851231

zbMATH Keywords

interval censoringadaptive estimationstrongly mixinghard thresholdingwarped wavelets

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items (3)

Adaptive warped kernel estimation for nonparametric regression with circular responses ⋮ Multivariate adaptive warped kernel estimation ⋮ Adaptive Warped Kernel Estimators

Cites Work

• Maxisets for \(\mu \) -thresholding rules
• Wavelets on the interval and fast wavelet transforms
• Mixing: Properties and examples
• Regression in random design and warped wavelets
• On minimax wavelet estimators
• Density estimation by wavelet thresholding
• Cumulative distribution function estimation under interval censoring case 1
• Regression in random design and Bayesian warped wavelets estimators
• A maxiset approach of a Gaussian noise model
• Bayesian Models for Multivariate Current Status Data with Informative Censoring
• Conditions for linear processes to be strong-mixing
• Minimum complexity regression estimation with weakly dependent observations
• MIXING AND MOMENT PROPERTIES OF VARIOUS GARCH AND STOCHASTIC VOLATILITY MODELS
• The Invariance Principle for Stationary Processes

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