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
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
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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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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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Estimating design operating characteristics in Bayesian adaptive clinical trials. [PDF]
Golchi S.
europepmc +1 more source
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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Improved inference for vaccine-induced immune responses via shape-constrained methods. [PDF]
Laha N, Moodie Z, Huang Y, Luedtke A.
europepmc +1 more source
An overview of bootstrap methods for estimating and predicting in time series
Autoregressive processes, blockwise bootstrap, moving average processes, moving blocks bootstrap, resampling methods, stationary bootstrap, Primary 62G09, secondary 62G07, 62M10, 62M20, 60G25,
Ricardo Cao
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