Bootstrapping the mode

DOI10.1007/BF00053066zbMath0684.62039OpenAlexW2038886578MaRDI QIDQ1825565

Joseph P. Romano

Publication date: 1988

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00053066

zbMATH Keywords

resamplingkernel density estimatesempirical distributionbootstrap confidence intervalsfixed and data-dependent bandwidthsmode of a density

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Nonparametric tolerance and confidence regions (62G15)

Related Items

Rates of consistency for nonparametric estimation of the mode in absence of smoothness assumptions, Solution manifold and its statistical applications, Estimation of the global mode of a density: minimaxity, adaptation, and computational complexity, On nonparametric kernel estimation of the mode of the regression function in the random design model, On the minimisation of \(L^ p\) error in mode estimation, Asymptotic theory for density ridges, On the asymptotic normality of kernel regression estimators of the mode in the nonparametric random design model., Asymptotic normality of the regression mode in the nonparametric random design model for censored data, A note on bootstrap confidence intervals for proportions, Autoregressive-aided periodogram bootstrap for time series, Some asymptotic properties of kernel regression estimators of the mode for stationary and ergodic continuous time processes, Nonparametric inference via bootstrapping the debiased estimator, A comprehensive approach to mode clustering, A kernel mode estimate under random left truncation and time series model: asymptotic normality, Bootstrap choice of tuning parameters, Invalidity of the bootstrap and the m out of n bootstrap for confidence interval endpoints defined by moment inequalities, Inference for the mode of a log-concave density

Cites Work

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• On Estimation of a Probability Density Function and Mode