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

Showing result 1 - 5 of 93 swedish dissertations containing the words Statistics for Spatial Data..

2. 1. Computational Methods for Image-Based Spatial Transcriptomics

   Author : Axel Andersson; Carolina Wählby; Anna Klemm; Filip Malmberg; Karl Åström; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Spatial omics; Spatial transcriptomics; Spatial biology; In Situ Sequencing; Visualization; Spatial statistics; Fluorescence microscopy; Computerized Image Processing; Datoriserad bildbehandling;

   Abstract : Why does cancer develop, spread, grow, and lead to mortality? To answer these questions, one must study the fundamental building blocks of all living organisms — cells. Like a well-calibrated manufacturing unit, cells follow precise instructions by gene expression to initiate the synthesis of proteins, the workforces that drive all living biochemical processes. READ MORE

4. 2. Non-parametric methods for functional data

   Author : Johan Strandberg; Sara Sjöstedt de Luna; Konrad Abramowicz; Lina Schelin; Charlotte Häger; Pedro Delicado; Umeå universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; functional data analysis; testing; clustering; prediction; inference; bagging Voronoi strategy; kriging; dependency; matematisk statistik; Mathematical Statistics;

   Abstract : In this thesis we develop and study non-parametric methods within three major areas of functional data analysis: testing, clustering and prediction. The thesis consists of an introduction to the field, a presentation and discussion of the three areas, and six papers. READ MORE

5. 3. Scalable Bayesian spatial analysis with Gaussian Markov random fields

   Author : Per Sidén; Mattias Villani; Anders Eklund; Håvard Rue; Linköpings universitet; []
   Keywords : 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

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

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

   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

7. 5. Spatial analysis and modeling of nerve fiber patterns

   Author : Claes Andersson; Göteborgs universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; hierarchical models; Bayesian estimation; epidermal nerve fibers; cluster processes; spatial point processes; diabetic neuropathy; Bayesian field theory; Diabetic neuropathies; Multilevel models Statistics ; Institutionen för matematiska vetenskaper. Tillämpad matematik och statistik.; CTH;

   Abstract : Diabetic neuropathy is a condition associated with diabetes affecting the epidermal nerve fibers (ENFs). This thesis presents analysis methods and models for ENF data, with two main puroposes: to find early signs of diabetic neuropathy and to characterize how this condition changes the nerve fiber structure. READ MORE