899 resultados para paths


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Tese de doutoramento, Biologia (Biologia Evolutiva), Universidade de Lisboa, Faculdade de Ciências, 2016

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Any analysis of the prospects for stability and sustainability in the states of Syria and Lebanon reveals the strong ties that exist between these two countries and the impact of external influences on their overall development. Their trajectories, while starkly divergent in terms of the challenges confronting them at present, converge on a path of long-term unsustainability. Lebanon is in the midst of yet another transition phase, triggered by the collapse of Hariri’s government in January 2011. The current situation might be described as one of deteriorating status quo; the state is performing poorly in terms of its delivery of fundamental public services and its institutional legitimacy is tenuous in the face of emerging para-state structures and latent (occasionally active) violence. In Syria, challenges to the sustainability of the state have evolved dramatically since the beginning of 2011, and are now nearing a tipping point. In view of the mounting unrest and violence in the country, the future prospects for its economic and political development are dim. More ominously, the risk of widespread conflict, with sectarian overtones, cannot be discounted.

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The FANOVA (or “Sobol’-Hoeffding”) decomposition of multivariate functions has been used for high-dimensional model representation and global sensitivity analysis. When the objective function f has no simple analytic form and is costly to evaluate, computing FANOVA terms may be unaffordable due to numerical integration costs. Several approximate approaches relying on Gaussian random field (GRF) models have been proposed to alleviate these costs, where f is substituted by a (kriging) predictor or by conditional simulations. Here we focus on FANOVA decompositions of GRF sample paths, and we notably introduce an associated kernel decomposition into 4 d 4d terms called KANOVA. An interpretation in terms of tensor product projections is obtained, and it is shown that projected kernels control both the sparsity of GRF sample paths and the dependence structure between FANOVA effects. Applications on simulated data show the relevance of the approach for designing new classes of covariance kernels dedicated to high-dimensional kriging.

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Image includes old law building, old Mason Hall, South Hall

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"References": P. 125-126.

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"HRDS-06/07-07(500)E"--Back cover.

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"Supported in part by NSF grant MCS-80-03308."

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Publisher's advertisements: [3]-6 p. at end.

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"Copyrighted ... by Charles Foster."

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Mode of access: Internet.

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In Spenser's footsteps.--The home of Sir Philip Sidney.--Memorials of William Penn.--The birthplace of Gray's Elegy.--Gilbert White's Selborne.--Goldsmith's "Deserted Village."--Burns in Ayrshire.--Keats and his circle.--In Carlyle's country.--Thomas Hood's homes and friends.--Royal Winchester.