Search Results - "Lasanen, Sari"
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Bayesian Filtering in Incoherent Scatter Plasma Parameter Fits
Published in Journal of geophysical research. Space physics (01-03-2021)“…Incoherent scatter (IS) radars are invaluable instruments for ionospheric physics, since they observe altitude profiles of electron density (Ne), electron…”
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Enhancing industrial X-ray tomography by data-centric statistical methods
Published in Data-Centric Engineering (Online) (01-01-2020)“…X-ray tomography has applications in various industrial fields such as sawmill industry, oil and gas industry, as well as chemical, biomedical, and…”
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3
Sparse Approximations of Fractional Matérn Fields
Published in Scandinavian journal of statistics (01-03-2018)“…We consider fast lattice approximation methods for a solution of a certain stochastic non-local pseudodifferential operator equation. This equation defines a…”
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4
Posterior Convergence Analysis of $\alpha$-Stable Sheets
Published 06-07-2019“…This paper is concerned with the theoretical understanding of $\alpha$-stable sheets $U$ on $\mathbb{R}^d$. Our motivation for this is in the context of…”
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5
Non-Stationary Multi-layered Gaussian Priors for Bayesian Inversion
Published 28-06-2020“…In this article, we study Bayesian inverse problems with multi-layered Gaussian priors. We first describe the conditionally Gaussian layers in terms of a…”
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Posterior convergence for approximated unknowns in non-Gaussian statistical inverse problems
Published 05-12-2011“…The statistical inverse problem of estimating the probability distribution of an infinite-dimensional unknown given its noisy indirect observation is studied…”
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7
Enhancing Industrial X-ray Tomography by Data-Centric Statistical Methods
Published 08-03-2020“…X-ray tomography has applications in various industrial fields such as sawmill industry, oil and gas industry, chemical engineering, and geotechnical…”
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8
Hilbert-Space Reduced-Rank Methods For Deep Gaussian Processes
Published in 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP) (01-10-2019)“…A deep Gaussian process is a hierarchy of Gaussian processes where the process at each level is Gaussian given the process on the next level. In this paper, we…”
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Conference Proceeding -
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Hyperpriors for Mat\'ern fields with applications in Bayesian inversion
Published 09-12-2016“…We introduce non-stationary Mat\'ern field priors with stochastic partial differential equations, and construct correlation length-scaling with hyperpriors. We…”
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10
Cauchy difference priors for edge-preserving Bayesian inversion with an application to X-ray tomography
Published 19-03-2016“…We study Cauchy-distributed difference priors for edge-preserving Bayesian statistical inverse problems. On the contrary to the well-known total variation…”
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11
Elliptic boundary value problems with Gaussian white noise loads
Published 02-03-2016“…Linear second order elliptic boundary value problems (BVP) on bounded Lipschitz domains are studied in the case of Gaussian white noise loads. Especially,…”
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Journal Article -
12
Sparse approximations of fractional Mat\'ern fields
Published 08-10-2014“…We consider a fast approximation method for a solution of a certain stochastic non-local pseudodifferential equation. This equation defines a Mat\'ern class…”
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Journal Article