Sökning: "Bayesian"

Visar resultat 1 - 5 av 478 avhandlingar innehållade ordet Bayesian.

  1. 1. Bayesian Cluster Analysis : Some Extensions to Non-standard Situations

    Författare :Jessica Franzén; Daniel Thorburn; Jukka Corander; Stockholms universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Cluster analysis; Clustering; Classification; Mixture model; Gaussian; Bayesian inference; MCMC; Gibbs sampler; Deviant group; Longitudinal; Missing data; Multiple imputation; Statistics; Statistik; Statistics; statistik;

    Sammanfattning : The Bayesian approach to cluster analysis is presented. We assume that all data stem from a finite mixture model, where each component corresponds to one cluster and is given by a multivariate normal distribution with unknown mean and variance. LÄS MER

  2. 2. Bayesian Phylogenetic Inference : Estimating Diversification Rates from Reconstructed Phylogenies

    Författare :Sebastian Höhna; Tom Britton; Fredrik Ronquist; Ziheng Yang; Stockholms universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Phylogenetics; Bayesian inference; Graphical Models; Birth-Death Process; Diversification; matematisk statistik; Mathematical Statistics;

    Sammanfattning : Phylogenetics is the study of the evolutionary relationship between species. Inference of phylogeny relies heavily on statistical models that have been extended and refined tremendously over the past years into very complex hierarchical models. LÄS MER

  3. 3. Bayesian structure learning in graphical models

    Författare :Felix Leopoldo Rios; Tatjana Pavlenko; Klas Markström; KTH; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Bayesian statistics; graphical models; Bayesian networks; Markov networks; structure learning; Tillämpad matematik och beräkningsmatematik; Applied and Computational Mathematics;

    Sammanfattning : This thesis consists of two papers studying structure learning in probabilistic graphical models for both undirected graphs anddirected acyclic graphs (DAGs).Paper A, presents a novel family of graph theoretical algorithms, called the junction tree expanders, that incrementally construct junction trees for decomposable graphs. LÄS MER

  4. 4. Aspecte of Bayesian Cointegration

    Författare :Mattias Villani; Daniel Thorburn; Rolf Larsson; Stockholms universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Bayesian inference; Cointegration; Estimation; Lag-length; Prediction; Restrictions; statistik; Statistics;

    Sammanfattning : .... LÄS MER

  5. 5. Gated Bayesian Networks

    Författare :Marcus Bendtsen; Jose M. Peña; Nahid Shahmehri; Helge Langseth; Linköpings universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; NATURAL SCIENCES;

    Sammanfattning : Bayesian networks have grown to become a dominant type of model within the domain of probabilistic graphical models. Not only do they empower users with a graphical means for describing the relationships among random variables, but they also allow for (potentially) fewer parameters to estimate, and enable more efficient inference. LÄS MER