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  1. 1
    Cluster priors in the Bayesian modelling of fMRI data

    Cluster priors in the Bayesian modelling of fMRI data by Taskinen, Ilkka

    Published 2001
    Subjects:
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    Doctoral dissertation
  2. 2
    Markov chains, MCMC methods and the equi-energy sampler

    Markov chains, MCMC methods and the equi-energy sampler by Tiimonen, Mika

    Published 2008
    Subjects:
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    Licentiate thesis
  3. 3
    Non-linear state-space methods for Bayesian time series modelling

    Non-linear state-space methods for Bayesian time series modelling by Karppinen, Santeri, kirjoittaja

    Published 2022
    Subjects:
    Linkki verkkoaineistoon
    Doctoral dissertation
  4. 4
    Markov chain backward stochastic differential equations in modeling insurance policy

    Markov chain backward stochastic differential equations in modeling insurance policy by Hänninen, Henri

    Published 2022
    Subjects:
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    Master's thesis
  5. 5
    Data augmentation under Rician noise model in diffusion MRI with applications to human brain studies

    Data augmentation under Rician noise model in diffusion MRI with applications to human brain studies by Liu, Jia, kirjoittaja

    Published 2019
    Subjects:
    JYX-julkaisuarkisto / JYX Digital Archive
    Doctoral dissertation
  6. 6
    Correlated uncertainties in Bayesian inference

    Correlated uncertainties in Bayesian inference by Karhunen, Mikko

    Published 2025
    Subjects:
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    Master's thesis
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