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On the Search for Retrotransposons: Alternative Protocols to Obtain Sequences to Learn Profile Hidden Markov Models
(2018-05-01)
Profile hidden Markov models (pHMMs) have been used to search for transposable elements (TEs) in genomes. For the learning of pHMMs aimed to search for TEs of the retrotransposon class, the conventional protocol is to use ...
Comparing the performance of a reversible jump Markov chain Monte Carlo algorithm for DNA sequences alignment
(Taylor & Francis LtdAbingdonInglaterra, 2006)
Distributed generators as providers of reactive power support - A market approach
(2013-01-31)
Traditionally, ancillary services are supplied by large conventional generators. However, with the huge penetration of distributed generators (DGs) as a result of the growing interest in satisfying energy requirements, and ...
Variable parameter and double sampling (X)over-bar charts in the presence of correlation: The Markov chain approach
(Elsevier B.V., 2011-04-01)
The general assumption under which the (X) over bar chart is designed is that the process mean has a constant in-control value. However, there are situations in which the process mean wanders. When it wanders according to ...
The H-2-control for jump linear systems: cluster observations of the Markov state
(Pergamon-elsevier Science LtdOxfordInglaterra, 2002)
Segmentação de dados de perfilamento a laser em áreas urbanas utilizando uma abordagem Bayesiana
(2007-01-01)
In this paper is presented a region-based methodology for Digital Elevation Model segmentation obtained from laser scanning data. The methodology is based on two sequential techniques, i.e., a recursive splitting technique ...
Stability and ergodicity of piecewise deterministic Markov processes
(SIAM PUBLICATIONS, 2008)
The main goal of this paper is to establish some equivalence results on stability, recurrence, and ergodicity between a piecewise deterministic Markov process ( PDMP) {X( t)} and an embedded discrete-time Markov chain ...
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 ...