Sökning: "spatial statistics"

Visar resultat 31 - 35 av 158 avhandlingar innehållade orden spatial statistics.

  1. 31. Perfect simulation of some spatial point processes

    Författare :Kajsa Fröjd; Göteborgs universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : .... LÄS MER

  2. 32. Models and Methods for Random Fields in Spatial Statistics with Computational Efficiency from Markov Properties

    Författare :David Bolin; Matematisk statistik; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; random fields; Gaussian Markov random fields; Matérn covariances; stochastic partial differential equations; Computational efficiency;

    Sammanfattning : The focus of this work is on the development of new random field models and methods suitable for the analysis of large environmental data sets. A large part is devoted to a number of extensions to the newly proposed Stochastic Partial Differential Equation (SPDE) approach for representing Gaussian fields using Gaussian Markov Random Fields (GMRFs). LÄS MER

  3. 33. Noise Convolution Models: Fluids in Stochastic Motion, Non-Gaussian Tempo-Spatial Fields, and a Notion of Tilting

    Författare :Jörg Wegener; Matematisk statistik; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; generalized Laplace; shallow water equations; asymmetry; noise convolution models; tempo-spatial fields; non-Gaussian model;

    Sammanfattning : The primary topic of this thesis is a class of tempo-spatial models which are rather flexible in a distributional sense. They prove quite successful in modeling (temporal) dependence structures and go beyond the limitation of Gaussian models, thus allowing for heavy tails and skewness. LÄS MER

  4. 34. Spatial Analysis and Modelling Motivated by Epidermal Nerve Fibers

    Författare :Viktor Olsbo; Göteborgs universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : .... LÄS MER

  5. 35. Probabilistic machine learning methods for automated radiation therapy treatment planning

    Författare :Tianfang Zhang; Jimmy Olsson; Steve Jiang; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Matematisk statistik; Mathematical Statistics;

    Sammanfattning : In this thesis, different parts of an automated process for radiation therapy treatment planning are investigated from a mathematical and computational perspective. Whereas traditional inverse planning is labor-intensive, often comprising several reiterations between treatment planner and physician before a plan can be approved, much of recent research have been aimed at using a data-driven approach by learning from historically delivered plans. LÄS MER