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Melquiades: um programa de Monte Carlo para a simulação de sistemas multicomponentes utilizando modelos de potenciais arbitrários
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Química - PPGQCâmpus São Carlos, 2017-02-23)
It was developed a general purpose Metropolis Monte Carlo program, which allows to use arbitrary mathematical functions as potential functions for interaction energy calculation, in order to simulate multicomponent system, ...
Predator-prey models: an application for the plankton dynamics of lake Geneva
(SPRINGERAMSTERDAM, 2011)
In this paper we present a hierarchical Bayesian analysis for a predator-prey model applied to ecology considering the use of Markov Chain Monte Carlo methods. We consider the introduction of a random effect in the model ...
Computational tools for comparing asymmetric GARCH models via Bayes factors
(ElsevierAmsterdam, 2012)
In this paper we use Markov chain Monte Carlo (MCMC) methods in order to estimate and compare GARCH models from a Bayesian perspective. We allow for possibly heavy tailed and asymmetric distributions in the error term. We ...
Detection of contact failures with the Markov chain Monte Carlo method by using integral transformed measurements
(ElsevierBrasilNúcleo Interdisciplinar de Dinâmica dos Fluidos, 2019)
Reactive power support pricing of distributed generators with primary energy source uncertainty
(2011-05-31)
In this paper, a novel methodology to price the reactive power support ancillary service of Distributed Generators (DGs) with primary energy source uncertainty is shown. The proposed methodology provides the service pricing ...
Reactive power support pricing of distributed generators with primary energy source uncertainty
(2011-05-31)
In this paper, a novel methodology to price the reactive power support ancillary service of Distributed Generators (DGs) with primary energy source uncertainty is shown. The proposed methodology provides the service pricing ...