Matodos De Quadratura
Mostrando 1-3 de 3 artigos, teses e dissertações.
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1. Novel and faster ways for solving semi-markov processes: mathematical and numerical issues
Continuous-time semi-Markov processes (SMP) are important stochastic tools for modeling reliability metrics over time for systems where the future behavior depends on the current and next states as well as on sojourn times. The classical approach for solving the interval transition probabilities of SMP consists of directly applying any general quadrature met
Publicado em: 2009
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2. MÃtodo adaptativo de Markov Chain Monte Carlo para manipulaÃÃo de modelos Bayesianos
Historically, Bayesian models have deserved special attention from academy and applied fields mainly by allowing mathematical combination of human judgments and empirical data. Markov Chain Monte Carlo (MCMC) methodology is one of the main classes of approaches for computing marginal estimates from Bayesian models. Among Markov Chain Monte Carlo methods, Met
Publicado em: 2009
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3. CalibraÃÃo multivariada empregando transformada wavelet adaptativa.
Esta tese envolve o uso de tÃcnicas baseadas na teoria de wavelets, mais especificamente bancos de filtros de quadratura espelhada, para tratar problemas de colinearidade na calibraÃÃo multivariada de anÃlises instrumentais.As principais contribuiÃÃes do trabalho consistem na formulaÃÃo de bancos de filtros na forma matricial usualmente empregada em
Publicado em: 2002