Results 41 to 50 of about 123 (106)

Iterative Density Estimation from Contaminated Observations

open access: yes
Contaminated observations, Density estimation, Deconvolution, Mean integrated squared error, Minimax rates, Smoothing parameter, Simulation, Primary 62G07, Secondary 62G20,
Christian Hesse
core   +1 more source

Large and Moderate Deviations Principles for Recursive Kernel Estimator of a Multivariate Density and its Partial Derivatives [PDF]

open access: yes, 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  

A maxiset approach of a Gaussian noise model

open access: yes
Gaussian noise, Warped wavelets, Besov spaces, Minimax, Muckenhoupt weights, Wavelet thresholding, Maxiset, 62G07, 62G20, 42B20,
Christophe Chesneau
core   +1 more source

Longitudinal data with nonstationary errors: a nonparametric three-stage approach

open access: yes
Additive model, cochlear implant, kernel smoothing, longitudinal data, random effects, three-stage procedure, 62G07, 62P10, 62F12,
Philippe Vieu   +2 more
core   +1 more source

On Nonparametric Bayesian Inference for the Distribution of a Random Sample

open access: yes, 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
core   +1 more source

Nonparametric Estimation in a Model with a Trend

open access: yes
Mathematics Subject Classifications (1991): 62G07, 62G20., nonparametric estimators of density and regression, nonstationarity, strongly mixing, inconsistency of estimators.,
Yun‐Min Huang, Jia Shen
core   +1 more source

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