David Bolin

Universitetslektor at Department of Mathematical Sciences, Applied Mathematics and Statistics

My primary research areas are spatial statistics, spatio-temporal modeling, and computationally efficient inference methods for analysis of large data sets.

Source: chalmers.se

Projects

2014–2019

Material structures seen through microscopes and statistics

Aila Särkkä Department of Mathematical Sciences, Mathematical Statistics
Charlotte Hamngren Blomqvist Department of Applied Physics, Eva Olsson Group
Mats Rudemo Department of Mathematical Sciences, Mathematical Statistics
Cecilia Fager Department of Applied Physics, Eva Olsson Group
Sandra Eriksson Barman Department of Mathematical Sciences, Mathematical Statistics
Eva Olsson Department of Applied Physics, Eva Olsson Group
Holger Rootzen Department of Mathematical Sciences, Mathematical Statistics
David Bolin Department of Mathematical Sciences, Mathematical Statistics
Marco Longfils Department of Mathematical Sciences, Mathematical Statistics
Niklas Lorén Department of Applied Physics, Eva Olsson Group
Swedish Foundation for Strategic Research (SSF)

2015–2018

Approximation and simulation of Lévy-driven SPDE

Annika Lang Department of Mathematical Sciences, Mathematical Statistics
Stig Larsson Department of Mathematical Sciences, Mathematics
Adam Andersson Department of Mathematical Sciences, Mathematics
David Bolin Department of Mathematical Sciences, Mathematical Statistics
Andreas Petersson Department of Mathematical Sciences, Mathematical Statistics
Swedish Research Council (VR)

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Publications

2016

Fast Bayesian whole-brain fMRI analysis with spatial 3D priors

Per Sidén, Anders Eklund, David Bolin et al
NeuroImage. Vol. 146 (1), p. 211-225
Scientific journal article - peer reviewed
2016

Quantifying the uncertainty of contour maps

David Bolin, Finn Lindgren,
Journal of Computational And Graphical Statistics
Scientific journal article - peer reviewed
2016

Calibrating regionally downscaled precipitation over Norway through quantile-based approaches

David Bolin, Arnoldo Frigessi, Peter Guttorp et al
Advances in Statistical Climatology, Meteorology and Oceanography. Vol. 2, p. 39-47
Scientific journal article - peer reviewed
2016

Spatially adaptive covariance tapering

David Bolin, Jonas Wallin,
Spatial Statistics. Vol. 18, p. 163-178
Scientific journal article - peer reviewed
2015

Statistical Modeling and Estimation of Censored Pathloss Data

C. Gustafson, T. Abbas, David Bolin et al
IEEE Wireless Communications Letters. Vol. 4 (5), p. 569-572
Scientific journal article - peer reviewed
2015

Geostatistical Modelling Using Non-Gaussian Matern Fields

Jonas Wallin, David Bolin,
Scandinavian Journal of Statistics. Vol. 42 (3), p. 872-890
Scientific journal article - peer reviewed
2015

Statistical Prediction of Global Sea Level From Global Temperature

David Bolin, P. Guttorp, A. Januzzi et al
Statistica Sinica. Vol. 25 (1), p. 351-367
Scientific journal article - peer reviewed
2015

Excursion and contour uncertainty regions for latent Gaussian models

David Bolin, Finn Lindgren,
Journal of The Royal Statistical Society Series B-statistical Methodology. Vol. 77 (1), p. 85-106
Scientific journal article - peer reviewed
2014

Modeling the cluster decay in mm-wave channels

C. Gustafson, David Bolin, F. Tufvesson et al
8th European Conference on Antennas and Propagation, EuCAP 2014, p. 804-808
Conference paper - peer reviewed
2014

Assessing the Uncertainty in Projecting Local Mean Sea Level from Global Temperature

P. Guttorp, A. Januzzi, M. Novak et al
Journal of Applied Meteorology and Climatology. Vol. 53 (9), p. 2163-2170
Scientific journal article - peer reviewed
2014

Multivariate latent Gaussian random field mixture models

David Bolin, Jonas Wallin, Finn Lindgren et al
Preprint
2013

Spatial statistik och beräkningsintensiva metoder

David Bolin,
Qvintensen (3), p. 9-11
Scientific journal article - peer reviewed
2013

A comparison between Markov approximations and other methods for large spatial data sets

David Bolin, F. Lindgren,
Computational Statistics and Data Analysis. Vol. 61, p. 7-21
Scientific journal article - peer reviewed
2013

Spatial Matérn Fields Driven by Non-Gaussian Noise

David Bolin,
Scandinavian Journal of Statistics
Scientific journal article - peer reviewed
2011

Spatial models generated by nested stochastic partial differential equations, with an application to global ozone mapping

David Bolin, Finn Lindgren,
Annals of Applied Statistics. Vol. 5 (1), p. 523-550
Scientific journal article - peer reviewed
2010

Non-traditional stochastic models for ocean waves

G. Lindgren, David Bolin, F. Lindgren et al
European Physical Journal: Special Topics. Vol. 185 (1), p. 209-224
Scientific journal article - peer reviewed
2009

Fast estimation of spatially dependent temporal vegetation trends using Gaussian Markov random fields

David Bolin, J. Lindström, L. Eklundh et al
Computational Statistics and Data Analysis. Vol. 53 (8), p. 2885-2896
Scientific journal article - peer reviewed