Search for dissertations about: "Bayesian networks"

Showing result 1 - 5 of 57 swedish dissertations containing the words Bayesian networks.

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

    University dissertation from Göteborg : Chalmers University of Technology

    Author : Ivar Simonsson; Göteborgs universitet.; Gothenburg University.; [2016]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Bayesian networks; variable elimination algorithm; forensic statistics; relationship inference; mutation models; relationship inference; variable elimination algorithm; forensic statistics; mutation models;

    Abstract : 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. READ MORE

  2. 2. Gated Bayesian Networks

    University dissertation from Linköping : Linköping University Electronic Press

    Author : Marcus Bendtsen; Jose M. Peña; Nahid Shahmehri; Helge Langseth; [2017]

    Abstract : 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. READ MORE

  3. 3. Bayesian structure learning in graphical models

    University dissertation from Stockholm : KTH Royal Institute of Technology

    Author : Felix Leopoldo Rios; Tatjana Pavlenko; Klas Markström; [2016]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Bayesian statistics; graphical models; Bayesian networks; Markov networks; structure learning; Tillämpad matematik och beräkningsmatematik; Applied and Computational Mathematics;

    Abstract : 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. READ MORE

  4. 4. Essays on Bayesian Inference for Social Networks

    University dissertation from Stockholm : Statistiska institutionen

    Author : Johan Koskinen; Ove Frank; Philippa Pattison; [2004]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Bayesian inference; social network analysis; Markov chain Monte Carlo; exponential random graphs; cognitive social structures; longitudinal social networks.; SOCIAL SCIENCES Statistics; computer and systems science Statistics; SAMHÄLLSVETENSKAP Statistik; data- och systemvetenskap Statistik;

    Abstract : 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. READ MORE

  5. 5. Networks, Information and Economic Volatility

    University dissertation from mediatryck, Lund University

    Author : Graeme Cokayne; [2016]
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Social Networks; Information; DeGroot; Portfolio Choice; Learning; Bayesian approach; MACROECONOMICS;

    Abstract : This thesis makes a contribution to network theory and how it applies to economics. It consists of three self-contained papers. It predominantly considers how connections between economic entities can affect economic outcomes. READ MORE