Sökning: "Markov chain"

Visar resultat 41 - 45 av 139 avhandlingar innehållade orden Markov chain.

  1. 41. Essays on Bayesian Inference for Social Networks

    Författare :Johan Koskinen; Ove Frank; Philippa Pattison; Stockholms universitet; []
    Nyckelord :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

  3. 42. Bayesian Inference in Large Data Problems

    Författare :Matias Quiroz; Mattias Villani; Bani K. Mallick; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Bayesian inference; Large data sets; Markov chain Monte Carlo; Survey sampling; Pseudo-marginal MCMC; Delayed acceptance MCMC; Statistics; statistik;

    Sammanfattning : In the last decade or so, there has been a dramatic increase in storage facilities and the possibility of processing huge amounts of data. This has made large high-quality data sets widely accessible for practitioners. This technology innovation seriously challenges traditional modeling and inference methodology. LÄS MER

  4. 43. Identification and Control of Systems Subject to Abrupt Changes

    Författare :Mille Millnert; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Recursive identification; adaptive control; jumping parameters; Markov regime; time varying parameters;

    Sammanfattning : Many different recursive identification methods for time varying systems have been suggested in the literature. An assumption that the variations in the system parameters are slow is common for almost all the methods. LÄS MER

  5. 44. Probabilistic Modelling of Domain and Gene Evolution

    Författare :Sayyed Auwn Muhammad; Jens Lagergren; Bastien Boussau; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Phylogenetics; Phylogenomics; Evolution; Domain Evolution; Gene tree; Domain tree; Bayesian Inference; Markov Chain Monte Carlo; Homology Inference; Gene families; C2H2 Zinc-Finger; Reelin Protein; Computer Science; Datalogi;

    Sammanfattning : Phylogenetic inference relies heavily on statistical models that have been extended and refined over the past years into complex hierarchical models to capture the intricacies of evolutionary processes. The wealth of information in the form of fully sequenced genomes has led to the development of methods that are used to reconstruct the gene and species evolutionary histories in greater and more accurate detail. LÄS MER

  7. 45. Accelerating Monte Carlo methods for Bayesian inference in dynamical models

    Författare :Johan Dahlin; Thomas B. Schön; Fredrik Lindsten; Richard Everitt; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Computational statistics; Monte Carlo; Markov chains; Particle filters; Machine learning; Bayesian optimisation; Approximate Bayesian Computations; Gaussian processes; Particle Metropolis-Hastings; Approximate inference; Pseudo-marginal methods;

    Sammanfattning : Making decisions and predictions from noisy observations are two important and challenging problems in many areas of society. Some examples of applications are recommendation systems for online shopping and streaming services, connecting genes with certain diseases and modelling climate change. LÄS MER