Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 13 of 13 for “"Markov Chain theory"”.
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Robotic workcell analysis and object level programming
… completely autonomous operation.Network theory is used for the development of analysis techniques based on stochastic data. Object level programming is implemented using Markov chain theory to provide fully sensor integrated robot workcell control.
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Empirical modelling of high-frequency foreign exchange rates
… neural networks, linear Kalman filters and fuzzy Markov chain theory.
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Solidarity and ergodic properties of semi-Markov transition probabilities
… purpose of this thesis is to establish for semi-Markov processes the same type of behaviour that is characteristic of the better-known Markov chains; this is achieved mainly through the use of Laplace and Laplace-Stieltjes transforms and a frequent appeal to renewal theory. The mathematical tools …
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Solidarity and ergodic properties of semi-Markov transition probabilities
… purpose of this thesis is to establish for semi-Markov processes the same type of behaviour that is characteristic of the better-known Markov chains; this is achieved mainly through the use of Laplace and Laplace-Stieltjes transforms and a frequent appeal to renewal theory. The mathematical tools …
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Optimal Clustering: Genetic Constrained K-Means and Linear Programming Algorithms
… and Constrained K-means operator. Using finite Markov chain theory, we prove that the GCKA converges in probability to the global optimum. We test the algorithm with several datasets. The analysis shows that we can achieve a good clustering solution by carefully choosing parameters such as …
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Systematische Spielbeobachtung im internationalen Leistungsfußball
… Cup Final 2012. With the article "Applying the Markov Chain Theory to Analyze the Attacking actions between FC Barcelona and Manchester United in the European Champions League final", the mathematical simulative approach was introduced to perform a performance diagnosis of the football match. …
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Another Look at Stock Return Comovement: Some New Evidence and Test
… measure of comovement in a multivariate semi-Markov-switching framework. I conduct various model evaluation checks and compare the new results with that based on a benchmark. I estimate models with two to four regimes and consider the impact of sample selection and outlier reduction. Contrary …
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Deterioration Model for Ports in the Republic of Korea using Markov Chain Monte Carlo with Multiple Imputation
… develop deterioration model. In this research, Markov model using Markov chain theory, one of the Stochastic methods, is used to develop deterioration model for ports in South Korea. Markov chain is a probabilistic process among states. i.e., in Markov chain, transition among states follows some …
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Designing Provably Convergent Algorithms from the Geometry of Data
… and optimisation, (ii) monotone operator theory and numerical analysis, (iii) stochastic optimisation and Markov chain theory. Changing to the stochastic setting, we additionally consider sampling, as sampling from a Gibbs distribution, and as a universal data preprocessing method for …
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A study of a random-mating population of fixed size
… problem is formulated in terms of an absorbing Markov chain. A brief review or earlier work by Maleoot, Fisher, Wright, and Feller is given before proceeding to the study of the distribution or time taken for the population to consist of only one gene type. The first method used by the author to …
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The Impact of Randomisation in Load Balancing and Random Walks
… can be linked by the same mathematical toolkit: Markov chain theory. These problems have been heavily studied in the literature. However, their assumptions are mostly \emph{deterministic}, which causes less flexibility and generality to the real world settings. The novelty of this thesis is that …
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Inference on a genetic model
… Phil. Soc. 54 (1958), pp. 60-71]. The deductive theory by approximate methods of such models has reached an advanced stage but little has been done along the line of statistical inference. Moran's model is a model of the Markov chain type. It was selected for investigation because it is the only …