We consider a wavelet thresholding approach to adaptive variance function estimation in heteroscedastic nonparametric regression. A data-driven estimator is constructed by applying wavelet ...

The approach of generalized estimating equations (GEE) is based on the framework of generalized linear models but allows for specification of a working matrix for modeling within-subject correlations.

This article was originally published on Built In by Eric Kleppen. Variance is a powerful statistic used in data analysis and machine learning. It is one of the four main measures of variability along ...

The total variance of multiple-phase estimation obtained by the CRB and the QCRB as a function of the number of unknown phases d with two probe states. It clearly shows that multi-mode N00N states ...

Financial institutions have to add a margin of conservatism of type C (MoC C) to their estimates of probability of default in order to account for the statistical uncertainty involved. European ...