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Mostrando ítems 71-80 de 640
Modelado PSCI de botnets en redes IoT con Cadenas de Márkov Múltiples
(Universidad de los AndesIngeniería de Sistemas y ComputaciónFacultad de IngenieríaDepartamento de Ingeniería de Sistemas y Computación, 2021)
En virtud de la creciente aparición de eventos informáticos que involucran dispositivos IoT (Internet de las Cosas), especialmente aquellos que se transmiten mediante las redes, surge la necesidad de un modelo que pueda ...
O uso de simulação de Monte Carlo via cadeias de Markov no melhoramento genéticoThe use of Monte Carlo simulation via Markov chains in genetic breeding
(Universidade Federal de ViçosaBREstatística Aplicada e BiometriaMestrado em Estatística Aplicada e BiometriaUFV, 2015)
Estimation of general equilibium model in dynamic economies using Markov Chain Monte Carlo methodsEstimación de modelos de equilibrio general en economías dinámicas por métodos de Monte Carlo y Cadenas de Markov
(Universidad de Costa Rica, Centro de Investigación en Matemática Pura y Aplicada (CIMPA), 2012)
A fast-running failure prognostic algorithm based on a non-homogeneous markov chain
(Universidad de Chile, 2021)
Typically, model-based prognostic algorithms estimate the remaining-useful-life distribution by characterizing the probable system trajectories described through state-space models. Unfortunately, as the state dimension ...
Progenitor properties of type II supernovae: fitting to hydrodynamical models using Markov chain Monte Carlo methods
(EDP Sciences, 2020-08)
The progenitor and explosion properties of type II supernovae (SNe~II) are fundamental to understanding the evolution of massive stars. Particular attention has been paid to the initial masses of their progenitors, but ...
The choice of statistical models in road safety countermeasure effectiveness studies in Iowa
(PERGAMON-ELSEVIER SCIENCE LTD, 2008)
With few exceptions, model selection in traffic safety studies does not receive as much attention as do the methods implemented to estimate the parameters in those models. In this manuscript, we focus on the modeling step ...
DPpackage: Bayesian Semi- and Nonparametric Modeling in R
(JOURNAL STATISTICAL SOFTWARE, 2011)
Data analysis sometimes requires the relaxation of parametric assumptions in order to gain modeling flexibility and robustness against mis-specification of the probability model. In the Bayesian context, this is accomplished ...
Avaliação do desempenho da carta com uso regra suplementar 2-2 de Khoo e Ariffin utilizando cadeia de Markov
(Universidade Federal de Minas GeraisBrasilICX - DEPARTAMENTO DE ESTATÍSTICAPrograma de Pós-Graduação em EstatísticaUFMG, 2023-03-13)
The -x control chart is an important tool for statistical process control. It is easy to analyze
and implement, which is why its use in industry is very common. However, it does not
perform well for small displacements ...
Regressão ordinal Bayesiana
(2014)