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RISNonparametric regression estimates with censored data based on block thresholding method
ناشر: Elsevier Science
سال: 2013
Nearly optimal minimax estimator for high dimensional sparse linear regression
ناشر: The Institute of Mathematical Statistics
سال: 2013
Optimal rules and robust Bayes estimation of a Gamma scale parameter
ناشر: Springer
سال: 2013
Bayes minimax estimation of the multivariate normal mean vector under quadratic loss functions
ناشر: Elsevier Science
سال: 2013
Bayes minimax estimation of the multivariate normal mean vector under balanced loss function
ناشر: Elsevier Science
سال: 2014
On the Minimax Optimality of Block Thresholded Wavelets Estimators for p-Mixing Process
سال: 2006
خلاصه:
We propose a wavelet based regression function estimator for the estimation of the regression function for a sequence of p-missing random variables with a common one-dimensional probability density function. Some asymptotic ...
On the Minimax Optimality of Block ThresholdedWavelets Estimators for ro-Mixing Process
سال: 2005
خلاصه:
We propose a wavelet based regression function estimator for the estimation
of the regression function for a sequence of -missing random variables with a
common one-dimensional probability density function. ...
Adaptive confidence intervals for regression functions under shape constraints
ناشر: The Institute of Mathematical Statistics
سال: 2013
Multichannel deconvolution with long range dependence: A minimax study
ناشر: Elsevier Science
سال: 2014