Asymptotic normality of the regression mode in the nonparametric random design model for censored data
Author:
Affiliation:
1. LMAC, Université de Technologie de Compiègne, Compiègne, France
2. MAPSFA, Ecole Nationale d'Ingenieurs de Monastir, Monastir, Tunisia
3. Lab. Math. et Appl., Universite de Poitiers - Pole du Futursocope, Chasseneuil, France
Publisher
Informa UK Limited
Subject
Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/03610926.2022.2039200
Reference60 articles.
1. An approximation to the density function
2. Uniform almost sure convergence and asymptotic distribution of the wavelet-based estimators of partial derivatives of multivariate density function under weak dependence
3. Normalité asymptotique d'estimateurs convergents du mode conditionnel
4. LOCATION OF PARTICULAR POINTS IN NON-PARAMETRIC REGRESSION ANALYSIS
5. Uniform limit theorems for a class of conditional Z-estimators when covariates are functions
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