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Influence diagnosis is important since presence of influential ob-servations could lead to distorted analysis and misleading interpreta-tions. For high dimensional data, it is particularly so, as the ...
We establish weak and strong law of large numbers for a class of branching symmetric Hunt processes with the branching rate being a smooth measure with respect to the underlying Hunt process, and the ...
We establish two moderate deviation principles (MDP) in the bootstrap setting. We prove MDP for the joint distribution of the empirical measure and the empirical bootstrap measure (empirical measure o...
Using a characterization of Mutual Complete Dependence copulas, we show that, with respect to the Sobolev norm, the MCD copulas can be approximated arbitrarily closed by shuffles of Min. This result i...
We introduce an information theoretic measure of statistical structure, called ‘binding informa-tion’, for sets of random variables, and compare it with several previously proposed measures in-cluding...
In the paper, the estimator for the spectral measure of multivariate stable distributions introduced by Davydov and co-workers are extended to the regularly varying distributions. The sampling method ...
Completing Aronov et al.’s study on zero-discrepancymatrices for digital halftoning, we determine all (m, n, k, l) for which it is possible to put mn consecutive integers on an m × n board (with wrap-...

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