Sökning: "Gaussian Markov Model"

Visar resultat 21 - 25 av 46 avhandlingar innehållade orden Gaussian Markov Model.

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

   Författare :Behnaz Pirzamanbein; Matematisk statistik; []
   Nyckelord :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;

   Sammanfattning : The aim of this thesis is to develop statistical models to reconstruct past land cover composition and human land use based on fossil pollen records over Europe for different time periods over the past 6000 years. Accurate maps of past land cover and human land use are needed when studying the interaction between climate and land surface, and the effects of human land use on past climate. LÄS MER

3. 22. Perspectives of Deep Learning for Neonatal Sepsis Detection

   Författare :Antoine Honoré; Saikat Chatterjee; Eric Herlenius; Guy Carrault; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Deep Learning; Neonatal Sepsis Detection; Normalizing Flows; Hidden Markov Models.; Djupinlärningsmodeller; Neonatal Sepsis detektion; Normaliserande Flöden; Dolda Markov modellerna.;

   Sammanfattning : Newborns, whether born at term or preterm, are highly vulnerable and face life-threatening situations during their initial weeks of life every year. Even with hospitalization in a neonatal intensive care unit (NICU) and careful clinical monitoring, identifying infection-related incidents like sepsis is a challenging task. LÄS MER

4. 23. Spatial inference for non-lattice data using Markov Random fields

   Författare :Linda Werner Hartman; Matematisk statistik; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : This thesis deals with how computationally effective lattice models could be used for inference of data with a continuous spatial index. The fundamental idea is to approximate a Gaussian field with a Gaussian Markov random field (GMRF) on a lattice. LÄS MER

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

   Författare :Linda Werner Hartman; Matematisk statistik; []
   Nyckelord :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;

   Sammanfattning : This thesis explores models and algorithms in geostatistics and gene mapping. The first part deals with the use of computationally effective lattice models for inference of data with a continuous spatial index. LÄS MER

7. 25. Probabilistic modeling in sports, finance and weather

   Författare :Jan Lennartsson; Göteborgs universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Mathematical modelling; Game theory; Team sport tactics; Modern portfolio theory; Gaussian fields; Team sport tactics;

   Sammanfattning : In this thesis, we build mathematical and statistical models for a wide variety of real world applications. The mathematical models include applications in team sport tactics and optimal portfolio selection, while the statistical modeling concerns weather and specifically precipitation. LÄS MER