Search for dissertations about: "Spatial statistics"

Showing result 1 - 5 of 127 swedish dissertations containing the words Spatial statistics.

  1. 1. Scalable Bayesian spatial analysis with Gaussian Markov random fields

    Author : Per Sidén; Mattias Villani; Anders Eklund; Håvard Rue; Linköpings universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Spatial statistics; Bayesian statistics; Gaussian Markov random fields; fMRI; Machine learning; Spatial statistik; Bayesiansk statistik; Gaussiska Markov-fält; fMRI; Maskininlärning;

    Abstract : Accurate statistical analysis of spatial data is important in many applications. Failing to properly account for spatial autocorrelation may often lead to false conclusions. READ MORE

  2. 2. Spatial sampling and prediction

    Author : Lina Schelin; Sara Sjöstedt-de Luna; Silvelyn Zwanzig; Umeå universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Auxiliary variables; Censoring; Inclusion probabilities; Kriging; Local pivotal method; Minimum detection limit; Prediction intervals; Representative sample; Spatial process; Spatial sampling; Semiparametric bootstrap; Mathematical Statistics; matematisk statistik;

    Abstract : This thesis discusses two aspects of spatial statistics: sampling and prediction. In spatial statistics, we observe some phenomena in space. Space is typically of two or three dimensions, but can be of higher dimension. READ MORE

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

    Author : Unn Dahlén; Spatio-Temporal Stochastic Modelling Group; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; 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 : This thesis focuses on the development and application of efficient mathematicaltools for estimating and modelling the exchange of carbon dioxide (CO2) between the Earth and its atmosphere; here referred to as the global CO2 surface flux.There are two main approaches for estimating the CO2 flux: Processed based(bottom-up) modelling and atmospheric inversion (top-down) modelling. READ MORE

  4. 4. Perfect simulation of some spatial point processes

    Author : Kajsa Larson; Olle Häggström; Chalmers University of Technology and Göteborg University Department of Mathematical Statistics; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Perfect simulering; coupling from the past; Markov shain Monte Carlo; point process; Widom-Rowlinson model; Mathematical statistics; Matematisk statistik; Mathematical Statistics; matematisk statistik;

    Abstract : Coupling from the past (CFTP) algorithms are presented that generate perfectly distributed samples from the multi-type Widom--Rowlinson (W--R) model and some generalizations of it. The classical W--R model is a point process in the plane or the  space consisting of points of several different types. READ MORE

  5. 5. Coverage problems for Strauss disc processes

    Author : Jessica Fahlén; Sara de Luna; Lennart Bondesson; Sven-Erick Alm; Umeå universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Binomial point process; coverage process; disc process; hard-core distance; McMC; Poisson point process; spatial point process; Strauss process; vacancy; Statistics; Statistik; Mathematical Statistics; matematisk statistik;

    Abstract : .... READ MORE