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In weather forecasting, nonhomogeneous regression is used to statistically postprocess forecast ensembles in order to obtain calibrated predictive distributions. For wind speed forecasts, the regressi...
Motivated by population studies of Diffusion Tensor Imaging, the paper investigates the use of mean-based and dispersion-based permutation tests to define and compute the significance of a statistical...
Model comparison for the purposes of selection, averaging and validation is a problem found throughout statistics and related disciplines. Within the Bayesian paradigm, these problems all require the ...
The correlation of the result lists provided by search engines is fundamental and it has deep and multidisciplinary ramifications. Here, we present automatic and unsupervised methods to assess whether...
We compare the risk of ridge regression to a simple variant of ordinary least squares, in which one simply projects the data onto a finite dimensional subspace (as specified by a Principal Component...
This note demonstrates that it is possible to bound the expectation of an arbitrary norm of a random matrix drawn from the Stiefel manifold in terms of the expected norm of a standard Gaussian matrix ...
In an interlaboratory key comparison, a data analysis procedure for this comparison was proposed and recommended by CIPM [1, 2, 3], therein the degrees of equivalence of measurement standards of the l...
This paper describes four methods for estimating autocorrelation time and evaluates these methods with a test set of seven series. Fitting an autoregressive process appears to be the most accurate met...
Two techniques have emerged from the recent literature as candidate solutions to the problem of missing data imputation, and these are the Expectation Maximisation (EM) Algorithm and the auto-associ...
In the statistical analysis of shape a goal beyond the analysis of static shapes lies in the quantification of ‘same’ deformation of different shapes. Typically, shape spaces are modelled as Riemann...
Comparison of some statistical experiments associated with sampling plans。
We use simulation studies, whose design is realistic for educational and medical research (as well as other elds of inquiry), to compare Bayesian and likelihood-based methods for tting variance-comp...
Testing Spatial Randomness: A Comparison Between T2 Methods and Modifications of the Angle Test。
A Comparison of Two Models for Estimating the Size of a Population Containing Uncatchable Individuals。

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