Normalité asymptotique d'estimateurs convergents du mode conditionnel

DOI10.2307/3315517zbMath0926.62036OpenAlexW2029049231MaRDI QIDQ4223834

Ali Gannoun, Alain F. Berlinet, Eric Matzner-Løber

Publication date: 25 November 1999

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3315517

zbMATH Keywords

asymptotic normalityconditional modealpha-mixing stationary processes

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Central limit and other weak theorems (60F05)

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Strong uniform consistency rates and asymptotic normality of conditional density estimator in the single functional index modeling for time series data, A note on asymptotic normality of convergent estimates of the conditional mode with errors-in-variables, Asymptotic normality of the regression mode in the nonparametric random design model for censored data, Nonparametric prediction by conditional median and quantiles, Asymptotic normality of convergent estimates of conditional quantiles, Some asymptotic properties of kernel regression estimators of the mode for stationary and ergodic continuous time processes, On the conditional density estimation for continuous time processes with values in functional spaces, On Semiparametric Mode Regression Estimation, On the nonparametric conditional density and mode estimates in the single functional index model with strongly mixing data, Functional time series prediction via conditional mode estimation, Estimating some characteristics of the conditional distribution in nonparametric functional models, Note on conditional mode estimation for functional dependent data, The law of the iterated logarithm for the multivariate kernel mode estimator, Nonparametric conditional predictive regions for time series

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