Sökning: "Bayesian networks"

Visar resultat 1 - 5 av 65 avhandlingar innehållade orden Bayesian networks.

  1. 1. 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

  2. 2. 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

  3. 3. Essays on Bayesian Inference for Social Networks

    Författare :Johan Koskinen; Ove Frank; Philippa Pattison; Stockholms universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Bayesian inference; social network analysis; Markov chain Monte Carlo; exponential random graphs; cognitive social structures; longitudinal social networks.; Statistics; Statistik;

    Sammanfattning : This thesis presents Bayesian solutions to inference problems for three types of social network data structures: a single observation of a social network, repeated observations on the same social network, and repeated observations on a social network developing through time.A social network is conceived as being a structure consisting of actors and their social interaction with each other. LÄS MER

  4. 4. Bayesian networks: exact inference and applications in forensic statistics

    Författare :Ivar Simonsson; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; relationship inference; variable elimination algorithm; forensic statistics; mutation models; Bayesian networks;

    Sammanfattning : Exact inference on Bayesian networks has been developed through sophisticated algorithms. One of which, the variable elimination algorithm, identifies smaller components of the network, called factors, on which local operations are performed. In principle this algorithm can be used on any Bayesian network. LÄS MER

  5. 5. Bayesian networks: exact inference and applications in forensic statistics

    Författare :Ivar Simonsson; Göteborgs universitet; Göteborgs universitet; Gothenburg University; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Bayesian networks; variable elimination algorithm; forensic statistics; relationship inference; mutation models;

    Sammanfattning : Exact inference on Bayesian networks has been developed through sophisticated algorithms. One of which, the variable elimination algorithm, identifies smaller components of the network, called factors, on which local operations are performed. In principle this algorithm can be used on any Bayesian network. LÄS MER