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Estimation of Snow Depth in Northern Sweden: Using Gaussian Markov Random Fields

Öhlund, Magnus (2013) FMS820 20131
Mathematical Statistics
Abstract (Swedish)
The goal of this dissertation is to estimate the amount of water in
snowpacks at the areas Kultsjön and Rensaren in northen Sweden.
A model is built using spatial statistics, and the estimations will be
done by Integrated Nested Laplace Approximations (INLA). Then a
validation process was done by removing data from the data set to
create a validation set, and compare the estimations done by INLA to
a simple linear regression. Finally the model is applied to the areas
of interest, and the results are analysed.
Please use this url to cite or link to this publication:
author
Öhlund, Magnus
supervisor
organization
course
FMS820 20131
year
type
H2 - Master's Degree (Two Years)
subject
language
English
id
3633108
date added to LUP
2013-04-12 09:44:43
date last changed
2013-04-12 09:44:43
@misc{3633108,
  abstract     = {The goal of this dissertation is to estimate the amount of water in
snowpacks at the areas Kultsjön and Rensaren in northen Sweden.
A model is built using spatial statistics, and the estimations will be
done by Integrated Nested Laplace Approximations (INLA). Then a
validation process was done by removing data from the data set to
create a validation set, and compare the estimations done by INLA to
a simple linear regression. Finally the model is applied to the areas
of interest, and the results are analysed.},
  author       = {Öhlund, Magnus},
  language     = {eng},
  note         = {Student Paper},
  title        = {Estimation of Snow Depth in Northern Sweden: Using Gaussian Markov Random Fields},
  year         = {2013},
}