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Multiple sclerosis (MS) is a chronic autoimmune disease that affects the central nervous system. The progression and severity of MS varies by individual, but it is generally a disabling disease. Altho...
Disease maps display the spatial pattern in disease risk, so that high-risk clusters can be identi ed. The spatial structure in the risk map is typically represented by a set of random e ects, which a...
Drawing a random sample of ballots to conduct a risk-limiting audit generally requires knowing how the bal-lots cast in an election are organized into groups, for in-stance, how many containers of bal...
Linear optimization problems are investigated whose parametersare uncertain. We apply coherent distortion risk measures to capture the pos-sible violation of a restriction. Each risk constraint induce...
We consider the regression model with (known) random design. We investigate the minimax performances of an adaptive wavelet block thresholding estimator under the Lp risk with p >2 over Besov balls. W...
Kernel methods are closely related to the notion of reproducing kernel Hilbert space (RKHS). A kernel machine is based on the minimization of an empirical cost and a stabilizer (usually the norm in th...
The risk graph is one of the most popular methods used to determine the safety integrity level for safety instrumented functions. However, conventional risk graph as described in the IEC 61508 standar...

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