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In this talk, we show that the available information about unknown parameters in rare events data is only tied to the relatively small number of cases, which justifies the usage of negative sampling. ...
An integral part of many algorithms for S-estimators of linear regression is random subsam-pling. For problems with only continuous predictors simplerandom subsampling is a reliable method to generate...
The aim of this article is to establish asymptotic distributions and consistency of subsampling for spectral density and for magnitude of coherence for non-stationary, almost periodically correlated t...
The article deals with the special subclass of cp-mixing periodically correlated (PC) time series and the estimation of autocovariance through Fourier coefficients. The aim is to investigate whethe...
In a recent paper, we analyzed the properties of a new kind of spherical wavelets (called needlets)for statistical inference procedures on spherical random fields; the investigation was mainly motivat...

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