Results 31 to 40 of about 99 (82)
nonparametric sequential estimation, minimax, drift, ergodic diffusion process, efficient procedure, primary 62G07, secondary 62G20,
L. Galtchouk, S. Pergamenshchikov
core +1 more source
Estimation of the conditional distribution in a conditional Koziol-green model
Asymptotic normality, consistency, proportional hazard, regression, right censoring, primary 62G07, secondary 62G20,
Carmen Cadarso-Suárez, Noel Veraverbeke
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Asymptotic unbiased density estimator
, 2009 International audienceThis paper introduces a computationally tractable density estimator that has the same asymptotic variance as the classical Nadaraya-Watson density estimator but whose asymptotic bias is zero. We achieve this result using a two stage
Hengartner, Nicolas W. +3 more
core +1 more source
Nonparametric inference with generalized likelihood ratio tests
Asymptotic null distribution, Bootstrap, Generalized likelihood ratio, Nonparametric test, Power function, Wilks’ phenomenon, 62G07, 62G10, 62J12,
Jiancheng Jiang, Jianqing Fan
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Robust estimation and classification for functional data via projection-based depth notions
Depth measures, Functional data, Projections method, Supervised classification, Primary 62G07, Secondary 62G20,
Ricardo Fraiman +2 more
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Large and Moderate Deviations Principles for Recursive Kernel Estimator of a Multivariate Density and its Partial Derivatives [PDF]
, 2006 2000 Mathematics Subject Classification: 62G07, 60F10.In this paper we prove large and moderate deviations principles for the recursive kernel estimator of a probability density function and its partial derivatives.
Baba, Thiam +2 more
core
Iterative Density Estimation from Contaminated Observations
Contaminated observations, Density estimation, Deconvolution, Mean integrated squared error, Minimax rates, Smoothing parameter, Simulation, Primary 62G07, Secondary 62G20,
Christian Hesse
core +1 more source
Longitudinal data with nonstationary errors: a nonparametric three-stage approach
Additive model, cochlear implant, kernel smoothing, longitudinal data, random effects, three-stage procedure, 62G07, 62P10, 62F12,
Philippe Vieu +2 more
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On Nonparametric Bayesian Inference for the Distribution of a Random Sample
, 1995 The nonparametric Bayesian approach for inference regarding the unknown distribution of a random sample customarily assumes that this distribution is random and arises through Dirichlet process mixing. Previous work within this setting has focused on the
Saurabh Mukhopadhyay, Alan E. Gelfand
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A maxiset approach of a Gaussian noise model
Gaussian noise, Warped wavelets, Besov spaces, Minimax, Muckenhoupt weights, Wavelet thresholding, Maxiset, 62G07, 62G20, 42B20,
Christophe Chesneau
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