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A new paradigm of adaptivity is to execute re nement, coarsening, and smoothing of meshes on manifolds with incomplete information about their geometry and yet preserve position and curvature accura...
We study the detailed structure (in a large sample) of the self-consistent estimators of the survival functions with doubly censored data. We also introduce the kernel-type density estimators based on...
Fisher-consistent loss functions play a fundamental role in the construction of successful binary margin-based classifiers. In this paper we establish the Fisher-consistency condition for multicategor...
This paper studies the formation of risk-sharing networks through costly social investments, identifying endogenous inequality and a misallocation of resources as possible downsides to such agreemen...
The numerical integration of many geometric partial di erential equations involves discrete approximations of several first- and second-order geometric di erential operators. In this paper, we consi...
A new type of the KP equation with self-consistent sources (KPESCS) 痳st found by Melnikov ( Lett. Math. Phys. 7(1983) 129-136)is re-constructed via source generation procedure. New feature of the ob...
The numerical integration of many geometric partial di甧rential equations in- volve discrete approximations of some di甧rential geometric operators. In this paper, we consider consistent discretized a...
Considering multivariate strongly mixing time series, nonparametric tests for a constant copula with specified or unspecified change point (candidate) are derived; the tests are consistent against gen...
In this article, we introduce a general theoretical framework to analyze non-consistent approximations of the discrete eigenmodes of a self-adjoint operator. We focus in particular on the discrete eig...
We introduce a class of depth-based classification procedures that are of a nearest-neighbor nature. Depth, after symmetrization, indeed provides the center-outward ordering that is necessary and suff...
This paper is devoted to description of the relationship among oriented associativity equations, symmetry consistent conjugate curvilinear coordinate nets, and the widest associated class of semi- Ham...
Abstract: We study a family of Markov processes on $\mathcal{P}^{(k)}$, the space of partitions of the natural numbers with at most $k$ blocks. The process can be constructed from a Poisson point proc...
We show that integrable involutive maps, due to the fact they admit three integrals in separated form, can give rise to equations which are consistent around the cube and which are not in the multiaf...
In using data assimilation to import information from observations to estimate parameters and state variables of a model, one must assume a distribution for the noise in the measure- ments and in th...
Agreeing suitability for purpose and procurement decisions depend on assessment of real or simulated performances of sonar systems against user requirements for particular scenarios. There may be mul...

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