Johan Lindström
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- 2015
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Mark
A Unified Spatiotemporal Modeling Approach for Predicting Concentrations of Multiple Air Pollutants in the Multi-Ethnic Study of Atherosclerosis and Air Pollution
(
- Contribution to journal › Article
- 2014
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Mark
A flexible spatio-temporal model for air pollution with spatial and spatio-temporal covariates
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- Contribution to journal › Article
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Mark
Reduced-rank spatio-temporal modeling of air pollution concentrations in the Multi-Ethnic Study of Atherosclerosis and Air Pollution
(
- Contribution to journal › Article
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Mark
Creating spatially continuous maps of past land cover from point estimates: A new statistical approach applied to pollen data
2014) In Ecological Complexity: An International Journal on Biocomplexity in the Environment and Theoretical Ecology 20(December 2014). p.127-141(
- Contribution to journal › Article
-
Mark
Segmentation of B-mode cardiac ultrasound data by Bayesian Probability Maps
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- Contribution to journal › Article
- 2013
-
Mark
Performance of tree phenology models along a bioclimatic gradient in Sweden
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- Contribution to journal › Article
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Mark
GCM characteristics explain the majority of uncertainty in projected 21st century terrestrial ecosystem carbon balance
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- Contribution to journal › Article
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Mark
CRAN-package SpatioTemporal, for estimation and prediction of spatio-temporal models
2013)(
- Other contribution › Miscellaneous
- 2012
-
Mark
GCM characteristics explain the majority of uncertainty in projected 21st century terrestrial ecosystem carbon balance
(
- Contribution to journal › Article
- 2011
-
Mark
An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach
2011) In Journal of the Royal Statistical Society. Series B: Statistical Methodology 73(4). p.423-498(
- Contribution to journal › Article