Results 11 to 20 of about 2,521,686 (170)
Identifying Key Biodiversity Areas Based on Distinct Genetic Diversity. [PDF]
Mol Ecol ResourABSTRACT Key Biodiversity Areas (KBAs) are sites that contribute significantly to the global persistence of biodiversity. Distinct genetic diversity has been introduced as one of the metrics to estimate whether a site holds a threshold proportion of a species' global genetic diversity during the KBA identification process.
Gronefeld SC +3 more
europepmc +2 more sources
High performance Monte Carlo computation for finance risk data analysis [PDF]
, 2013 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Finance risk management has been playing an increasingly important role in the finance sector, to analyse finance data and to prevent any potential crisis ...
Zhao, Yu
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Quantifying regulatory limits for multiple stressors in an open and transparent way. [PDF]
Conserv BiolAbstract Biodiversity is confronted globally by multiple stressors. Environmental policies must regulate these stressors to achieve targets, but how should that be done when the outcomes of limits on one stressor are contingent on other stressors, about which there is imperfect knowledge?
Stoffels RJ, White RSA.
europepmc +2 more sources
Why Monte Carlo Simulations are Inferences and not Experiments [PDF]
, 2012 Monte Carlo Simulations arrive at their results by introducing randomness, sometimes derived from a physical randomizing device. Nonetheless, we argue, they open no new epistemic channels beyond that already employed by traditional simulations: the ...
John D. Norton +3 more
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SMCTC : sequential Monte Carlo in C++ [PDF]
, 2009 Sequential Monte Carlo methods are a very general class of Monte Carlo methods for sampling from sequences of distributions. Simple examples of these algorithms are used very widely in the tracking and signal processing literature.
Johansen, Adam M., Adam M. Johansen
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Geodesic Monte Carlo on Embedded Manifolds [PDF]
, 2013 Markov chain Monte Carlo methods explicitly defined on the manifold of probability distributions have recently been established. These methods are constructed from diffusions across the manifold and the solution of the equations describing geodesic flows
Simon Byrne +5 more
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Information-Geometric Markov Chain Monte Carlo Methods Using Diffusions [PDF]
, 2014 Recent work incorporating geometric ideas in Markov chain Monte Carlo is reviewed in order to highlight these advances and their possible application in a range of domains beyond statistics. A full exposition of Markov chains and their use in Monte Carlo
Livingstone, Samuel +5 more
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Multi-level Monte Carlo for continuous time Markov chains, with applications in biochemical kinetics [PDF]
, 2011 We show how to extend a recently proposed multi-level Monte Carlo approach to the continuous time Markov chain setting, thereby greatly lowering the computational complexity needed to compute expected values of functions of the state of the system to a ...
Anderson, David +5 more
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Método Variacional com Monte Carlo aplicado ao oscilador harmônico quântico
Revista Brasileira de Ensino de FísicaO método variacional com Monte Carlo é ilustrado em uma aplicação simples da mecânica quântica: o oscilador harmônico unidimensional. Pormenores tanto do método de Monte Carlo como do variacional são discutidos.
Marcelo A. dos Reis, S.A. Vitiello
doaj +1 more source
Estudo de reações químicas homogêneas via método de Monte Carlo
Química Nova, 2013 By using the Monte Carlo simulation platform with probabilistic mathematical functions of the Boltzmann type, , having activation energy and temperature as parameters, it was possible to assess important dynamic aspects of homogeneous chemical reactions ...
Ravir Rodrigues Farias +3 more
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