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Algoritmos de estimação para modelos Markovianos não-homogêneos
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2020-02-27)
Hidden Markov models are a statistical paradigm which can be used to mode stochastic processeswhere the observable values are directly dependent on a sequence of hidden random variables.In the context of the hidden Markov ...
The hidden Markov chain modelling of the COVID-19 spreading using Moroccan dataset
The World Health Organization (WHO) declared in March 12,
2020 the COVID-19 disease as pandemic. In Morocco, the
first local transmission case was detected in March 13. The
number of confirmed cases has gradually increased ...
A new approach to image segmentation with two-dimensional hidden Markov models
(2013)
Image segmentation is one of the fundamental
problems in computer vision. In this work, we present a new
segmentation algorithm that is based on the theory of twodimensional hidden Markov models (2D-HMM). Unlike most ...
Estimação paramétrica e não-paramétrica em modelos de markov ocultos
(Universidade Federal do Rio Grande do NorteBRUFRNPrograma de Pós-Graduação em Matemática Aplicada e EstatísticaProbabilidade e Estatística; Modelagem Matemática, 2010-02-10)
In this work we study the Hidden Markov Models with finite as well as general state space. In the finite case, the forward and backward algorithms are considered and the probability of a given observed sequence is computed. ...
A Security Situation Awareness Approach for IoT Software Chain Based on Markov Game Model
Since Internet of Things (IoT) has been widely used in our daily life nowadays, it is regarded as a promising and popular application of the Internet, and has attracted more and more attention. However, IoT is also suffered ...
Model selection using information criteria for hidden Markov principal components analysisSelección del modelo por criterios de información para análisis de componentes principales ocultas de markov
(Pereira : Universidad Tecnológica de PereiraFacultad de Ciencias Básicas, 2011)
Comparing the performance of a reversible jump Markov chain Monte Carlo algorithm for DNA sequences alignment
(Taylor & Francis LtdAbingdonInglaterra, 2006)