Results 61 to 70 of about 1,930,444 (347)
Transform-based particle filtering for elliptic Bayesian inverse problems [PDF]
, 2019 We introduce optimal transport based resampling in adaptive SMC. We consider elliptic inverse problems of inferring hydraulic conductivity from pressure measurements.
Dubinkina, Svetlana +2 more
core +4 more sources
WIREs Computational Statistics, 2011 AbstractAs the standard method for solving systems of linear equations, Gaussian elimination (GE) is one of the most important and ubiquitous numerical algorithms. However, its successful use relies on understanding its numerical stability properties and how to organize its computations for efficient execution on modern computers.
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Closet non-Gaussianity of anisotropic Gaussian fluctuations [PDF]
Physical Review D, 1997 In this paper we explore the connection between anisotropic Gaussian fluctuations and isotropic non-Gaussian fluctuations. We first set up a large angle framework for characterizing non-Gaussian fluctuations: large angle non-Gaussian spectra. We then consider anisotropic Gaussian fluctuations in two different situations.
Ferreira, P, Magueijo, J
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On the Dispersion of Gases Discharged to the Chimney of a Thermal Power Plant
The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials ScienceThis paper presents a theoretical study on the dispersion of gaseous pollutants from a natural gas thermal power plant in the event of a malfunction. Using the Gaussian model, the dispersion of nitrogen oxides generated by such a thermal power plant was ...
Adrian LEOPA
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Some Universal Properties for Restricted Trace Gaussian Orthogonal, Unitary and Symplectic Ensembles
, 2010 Consider fixed and bounded trace Gaussian orthogonal, unitary and symplectic ensembles, closely related to Gaussian ensembles without any constraint. For three restricted trace Gaussian ensembles, we prove universal limits of correlation functions at ...
A. Soshnikov +29 more
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Primordial non-Gaussianity and non-Gaussian covariance
Physical Review D, 2023 In the pursuit of primordial non-Gaussianities, we hope to access smaller scales across larger comoving volumes. At low redshift, the search for primordial non-Gaussianities is hindered by gravitational collapse, to which we often associate a scale $k_{\rm NL}$.
Thomas Flöss +2 more
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The unpredictably eruptive dynamics of spruce budworm populations in eastern Canada
Population Ecology, EarlyView.We examine historical population data for spruce budworm from several locations through the period 1930–1997, and use density‐dependent recruitment curves to test whether the pattern of population growth over time is more consistent with Royama's (1984; Ecological Monographs 54:429–462) linear R(t) model of harmonic oscillation at Green River New ...
Barry J. Cooke, Jacques Régnière
wiley +1 more source
Indirect Gaussian Graph Learning Beyond Gaussianity [PDF]
IEEE Transactions on Network Science and Engineering, 2020 This paper studies how to capture dependency graph structures from real data which may not be Gaussian. Starting from marginal loss functions not necessarily derived from probability distributions, we utilize an additive over-parametrization with shrinkage to incorporate variable dependencies into the criterion.
Yiyuan She, Shao Tang, Qiaoya Zhang
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Network topology drives population temporal variability in experimental habitat networks
Population Ecology, EarlyView.Habitat patches connected by dispersal pathways form habitat networks. We explored how network topology affects population outcomes in laboratory experiments using a model species (Daphnia carinata). Central habitat nodes in complex lattice networks exhibited lower temporal variability in population sizes, suggesting they support more stable ...
Yiwen Xu +3 more
wiley +1 more source
Variant-Coherence Gaussian Sources
Photonics, 2021 The celebrated Gaussian Schell model source with its shift-invariant degree of coherence may be the basis for devising sources with space-variant properties in the spirit of structured coherence.
Franco Gori, Massimo Santarsiero
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