Some asymptotic properties of kernel regression estimators of the mode for stationary and ergodic continuous time processes. [PDF]
Bouzebda S, Didi S.
europepmc +1 more source
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
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Large and Moderate Deviations Principles for Recursive Kernel Estimator of a Multivariate Density and its Partial Derivatives [PDF]
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
Robust and efficient estimation of GARCH models based on Hellinger distance. [PDF]
Zhao Q, Chen L, Wu J.
europepmc +1 more source
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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OPTIMAL FALSE DISCOVERY RATE CONTROL FOR LARGE SCALE MULTIPLE TESTING WITH AUXILIARY INFORMATION. [PDF]
Cao H, Chen J, Zhang X.
europepmc +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
core +1 more source
On Nonparametric Bayesian Inference for the Distribution of a Random Sample
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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Nonparametric Estimation in a Model with a Trend
Mathematics Subject Classifications (1991): 62G07, 62G20., nonparametric estimators of density and regression, nonstationarity, strongly mixing, inconsistency of estimators.,
Yun‐Min Huang, Jia Shen
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Estimating design operating characteristics in Bayesian adaptive clinical trials. [PDF]
Golchi S.
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