Search for dissertations about: "Statistics for Spatial Data."

Showing result 1 - 5 of 76 swedish dissertations containing the words Statistics for Spatial Data..

  1. 1. Reconstruction of Past European Land Cover Based on Fossil Pollen Data : Gaussian Markov Random Field Models for Compositional Data

    University dissertation from Lund University, Faculty of Science, Centre for Mathematical Sciences, Centre for Environmental and Climate Research

    Author : Behnaz Pirzamanbein; Lunds universitet.; Lund University.; Lunds universitet.; Lund University.; Lunds universitet.; Lund University.; Lunds universitet.; Lund University.; [2016-11]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Spatial Statistics; Adaptive Markov Chain Monte Carlo; Dirichlet Observation; Confidence Region; Palaeoecology; Past Human Land Use; Stochastic Partial Differential Equation;

    Abstract : Spatial distribution of land cover plays an important role in climate system andglobal carbon cycle. Research shows that changes in land cover are associated with large climatic effects. These changes are either due to climate change or human activities. READ MORE

  2. 2. Satistical Modelling Of CO2 Exchange Between Land And Atmosphere : Using Stochastic Optimisation And Gaussian Markov Random Fields

    University dissertation from Mathematical Statistics, Centre for Mathematical Sciences, Lund University

    Author : Unn Dahlén; Lunds universitet.; Lund University.; Lund University.; Lunds universitet.; Lund University.; Lunds universitet.; Lund University.; [2019-08-27]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Gaussiska Markovfält; Stokastisk optimering; CO2-flöden; Spatial statistik; Stochastic Optimisation; Gaussian Markov Random Fields; Atmospheric inverse modelling; Spatial statistics; Computational statistics;

    Abstract : Den främsta orsaken till en ökad växthuseffekt anses idag bero på en högre koncentrationav koldioxid i atmosfären. Sedan den industriella revolutionen harmänniskan påverkat mängden koldioxid i atmosfären genom aktiviteter så somförbränning av fossila bränslen, avskogning, förändringar i markanvändning, samtcementproduktion. READ MORE

  3. 3. Spatial Statistics and Ancestral Recombination Graphs with Applications in Gene Mapping and Geostatistics

    University dissertation from Mathematical Statistics, Centre for Mathematical Sciences, Lund University

    Author : Linda Werner Hartman; Lunds universitet.; Lund University.; [2007]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Genetik; Genetics; cytogenetics; cytogenetik; genetic association analysis; ancestral recombination graph Generalized linear mixed models; kriging; bilinear interpolation; Gaussian Markov random fields; Statistics;

    Abstract : Popular Abstract in Swedish Statistik handlar om att beskriva slumpmässiga händelser. Genom att bygga matematiska modeller för hur slumpen beter sig kan man beräkna hur troliga olika händelser är. READ MORE

  4. 4. Spatial Mixture Models with Applications in Medical Imaging and Spatial Point Processes

    University dissertation from Gothenburg : Chalmers University of Technolog

    Author : Anders Hildeman; Göteborgs universitet.; Gothenburg University.; [2017]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Non-Gaussian; Bayesian level set inversion; Point processes; Substitute CT; Finite mixture models; Spatial statistics; Gaussian fields;

    Abstract : Finite mixture models have proven to be a great tool for both modeling non-standard probability distributions and for classification problems (using the latent variable interpretation). In this thesis we are building spatial models by incorporating spatially dependent categorical latent random fields in a hierarchical manner similar to that of finite mixture models. READ MORE

  5. 5. Spatial Mixture Models with Applications in Medical Imaging and Spatial Point Processes

    University dissertation from ; Chalmers tekniska högskola; Gothenburg

    Author : Anders Hildeman; [2017]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Non-Gaussian; Bayesian level set inversion; Point processes; Spatial statistics; Substitute CT; Finite mixture models; Gaussian fields;

    Abstract : Finite mixture models have proven to be a great tool for both modeling non-standard probability distributions and for classification problems (using the latent variable interpretation). In this thesis we are building spatial models by incorporating spatially dependent categorical latent random fields in a hierarchical manner similar to that of finite mixture models. READ MORE