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Estimation and goodness-of-fit for the Cox model with various types of censored data
Bivariate right censored data Bivariate data under univariate right censoring Bootstrap Doubly censored data Empirical likelihood Goodness-of-fit Partly interval-censored data
2015/12/11
The currently existing estimation methods and goodness-of-fit tests for the Cox model mainly deal with right censored data, but they do not have direct extension to other complicated types of censored...
Classical statistical theory ignores model selection in assessing estimation accuracy. Here we consider
bootstrap methods for computing standard errors and condence intervals that take model selecti...
Marginal density estimation for linear processes with seasonal long memory
Confidence band empirical process limit theorem mean integrated squared error
2011/2/25
Some convergence results on the kernel density estimator are proven for a class of linear processes with seasonal effects.
Belief-propagation-based joint channel estimation and decoding for spectrally efficient communication over unknown sparse channels
belief propagation message passing compressive sensing compressed sensing
2011/2/24
We consider spectrally-efficient communication over a Rayleigh N-block-fading channel with a K-
sparse L-length discrete-time impulse response (for 0either the transmitter nor
receiv...
Central limit theorem for the robust log-regression wavelet estimation of the memory parameter in the Gaussian semi-parametric context
Central limit theorem the robust log-regression wavelet estimation
2010/11/23
In this paper, we study robust estimators of the memory parameter d of a (possibly) non stationary Gaussian time series with generalized spectral density f. This generalized spectral density is chara...
Multipath Parameter Estimation from OFDM Signals in Mobile Channels
Parameter Estimation OFDM Signals Mobile Channels
2010/11/18
We study multipath parameter estimation from orthogonal frequency division multiplex signals transmitted over doubly dispersive mobile radio channels. We are interested in cases where the transmissio...