David Bolin (Former)
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- 2024
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Mark
Gaussian Whittle–Matérn fields on metric graphs
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- Contribution to journal › Article
- 2021
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Mark
Efficient methods for Gaussian Markov random fields under sparse linear constraints
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2020
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Mark
Linear mixed effects models for non‐Gaussian continuous repeated measurement data
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- Contribution to journal › Article
-
Mark
Multivariate type G Matérn stochastic partial differential equation random fields
2020) In Journal of the Royal Statistical Society. Series B: Statistical Methodology 82(1). p.215-239(
- Contribution to journal › Article
-
Mark
The COST IRACON Geometry-Based Stochastic Channel Model for Vehicle-to-Vehicle Communication in Intersections
(
- Contribution to journal › Article
- 2018
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Mark
Whole-brain subsitute CT generation using Markov random field mixture models
2018)(
- Other contribution › Miscellaneous
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Mark
Efficient Adaptive MCMC Through Precision Estimation
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- Contribution to journal › Article
- 2016
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Mark
Spatially adaptive covariance tapering
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- Contribution to journal › Article
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Mark
Modeling the Polarimetric mm-wave propagation channel using censored measurements
2016) 59th IEEE Global Communications Conference, GLOBECOM 2016(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2013
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Mark
A comparison between Markov approximations and other methods for large spatial data sets
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- Contribution to journal › Article
- 2012
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Mark
Models and Methods for Random Fields in Spatial Statistics with Computational Efficiency from Markov Properties
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- Thesis › Doctoral thesis (compilation)
- 2011
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Mark
Spatial models generated by nested stochastic partial differential equations, with an application to global ozone mapping
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- Contribution to journal › Article
- 2010
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Mark
Non-traditional stochastic models for ocean waves
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- Contribution to journal › Scientific review
-
Mark
Non-stationary nested SPDE models applied to global ozone data
2010)(
- Contribution to conference › Abstract
- 2009
-
Mark
Spatial stochastic models generated by nested stochastic partial differential equations
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- Contribution to journal › Article
-
Mark
Fast estimation of spatially dependent temporal trends using Gaussian Markov Random fields
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- Contribution to journal › Article
-
Mark
Computationally efficient methods in spatial statistics : Applications in environmental modeling
2009)(
- Thesis › Licentiate thesis
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Mark
Wavelet Markov models as efficient alternatives to tapering and convolution fields
(
- Contribution to journal › Article