Sökning: "Markov chain models"

Visar resultat 16 - 20 av 92 avhandlingar innehållade orden Markov chain models.

1. 16. Probabilistic Models for Species Tree Inference and Orthology Analysis

   Författare :Ikram Ullah; Jens Lagergren; Arndt von Haeseler; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; phylogenetics; phylogenomics; gene tree; species tree; expectation maximization; mixture model; dynamic programming; markov chain monte carlo; PrIME; JPrIME; Datalogi; Computer Science;

   Sammanfattning : A phylogenetic tree is used to model gene evolution and species evolution using molecular sequence data. For artifactual and biological reasons, a gene tree may differ from a species tree, a phenomenon known as gene tree-species tree incongruence. Assuming the presence of one or more evolutionary events, e.g. LÄS MER

3. 17. On Bayesian graphical model determination

   Författare :Jukka Corander; Carlo Berzuini; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Bayesian inference; Entropy; Exponential models; Graphical models; Logarithmic utility; Statistics; Statistik; statistik; Statistics;

   Sammanfattning : A graphical model specifies a graph representation of the independence structure of a multivariate distribution, where nodes represent variables and edges association between variables.This thesis introduces methodology for determination of graphical models for multivariate distributions within the exponential family. LÄS MER

4. 18. A statistical approach to multi-input equivalent fatigue loads for the durability of automotive structures

   Författare :Gwenaelle Genet; Göteborgs universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Equivalent fatigue; uniaxial and multiaxial high cycle fatigue; multi-input variable amplitude loads; rainflow counting; Morel s model; Basquin s model; Gaussian process; Markov chain; Markov chain;

   Sammanfattning : In the automotive industry, due to temporal and financial constraints, we need to strongly reduce the duration of the design phase, but still ensure reliability and robustness. Structures in service are often exposed to complex variable amplitude loads. LÄS MER

5. 19. Particle filters and Markov chains for learning of dynamical systems

   Författare :Fredrik Lindsten; Thomas B. Schön; Lennart Ljung; Fredrik Gustafsson; Arnaud Doucet; Linköpings universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Bayesian learning; System identification; Sequential Monte Carlo; Markov chain Monte Carlo; Particle MCMC; Particle filters; Particle smoothers;

   Sammanfattning : Sequential Monte Carlo (SMC) and Markov chain Monte Carlo (MCMC) methods provide computational tools for systematic inference and learning in complex dynamical systems, such as nonlinear and non-Gaussian state-space models. This thesis builds upon several methodological advances within these classes of Monte Carlo methods. LÄS MER

7. 20. Modeling Collective Decision-Making in Animal Groups

   Författare :Boris Granovskiy; David J. T. Sumpter; Mary R. Myerscough; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; collective animal behavior; collective intelligence; swarm intelligence; wisdom of crowds; mathematical modeling; stochastic modeling; agent-based modeling; Markov chain models;

   Sammanfattning : Many animal groups benefit from making decisions collectively. For example, colonies of many ant species are able to select the best possible nest to move into without every ant needing to visit each available nest site. LÄS MER