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Evaluation of Markov Chain Based Drought Forecasts in an Andean Regulated River Basin Using the Skill Scores RPS and GMSS
(KLUWER ACADEMIC PUBLISHERS, 2018)
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 ...
Uso de las cadenas de Markov para un modelo de negociosUso de las cadenas de Markov para un modelo de negocios
(INNOVA Research Journal, 2019)
Optimal Portfolio and Consumption in a Switching Diffusion MarketOptimal Portfolio and Consumption in a Switching Diffusion Market
(Sociedade Brasileira de Econometria, 2004)
A Systematic Literature Review on prioritizing software test cases using Markov chains
(2022-07-01)
Context: Software Testing is a costly activity since the size of the test case set tends to increase as the construction of the software evolves. Test Case Prioritization (TCP) can reduce the effort and cost of software ...
Comparing the performance of a reversible jump Markov chain Monte Carlo algorithm for DNA sequences alignment
(Taylor & Francis LtdAbingdonInglaterra, 2006)
Estimadores do tipo núcleo para a densidade de transição de uma cadeia de markov com espaço de estados geral
(Universidade Federal do Rio Grande do NorteBRUFRNPrograma de Pós-Graduação em Matemática Aplicada e EstatísticaProbabilidade e Estatística; Modelagem Matemática, 2010-05-21)
In this work, we studied the strong consistency for a class of estimates for a transition density of a Markov chain with general state space E ⊂ Rd. The strong ergodicity of the estimates for the density transition is ...