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Visar resultat 1 - 5 av 107 avhandlingar som matchar ovanstående sökkriterier.
1. Models and Methods for Random Fields in Spatial Statistics with Computational Efficiency from Markov Properties
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
2. Energy transport by random fields
Sammanfattning : .... LÄS MER
3. Numerical analysis for random processes and fields and related design problems
Sammanfattning : In this thesis, we study numerical analysis for random processes and fields. We investigate the behavior of the approximation accuracy for specific linear methods based on a finite number of observations. Furthermore, we propose techniques for optimizing performance of the methods for particular classes of random functions. LÄS MER
4. Crossings and maxima in Gaussian fields and seas
Sammanfattning : In this thesis the focus is on crossing points in random fields and the probability distributions of various crossing variables in different applications. The crossing points are generalisations to random fields of points of level crossings by stochastic processes. LÄS MER
5. Scalable Bayesian spatial analysis with Gaussian Markov random fields
Sammanfattning : Accurate statistical analysis of spatial data is important in many applications. Failing to properly account for spatial autocorrelation may often lead to false conclusions. LÄS MER