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David Bolin

Senior lecturer

David Bolin
Senior lecturer
bodavid@chalmers.se
+46 31-772 5375

Room number: H3028
Visiting Address: Chalmers tvärgata 3 , 41296 Göteborg


Applied Mathematics and Statistics at Department of Mathematical Sciences (More Information)
412 96 Göteborg
Visiting Address: Chalmers Tvärgata 3 , 412 96 Göteborg

About David Bolin

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

Se also http://www.chalmers.se/en/Staff/Pages/david-bolin.aspx

Latest publications

Multivariate type G Matern stochastic partial differential equation random fields
David Bolin, J. Wallin
Journal of the Royal Statistical Society Series B-Statistical Methodology, Journal article 2020
Journal article

The Rational SPDE Approach for Gaussian Random Fields With General Smoothness
David Bolin, Kristin Kirchner
Journal of Computational and Graphical Statistics, Journal article 2019
Journal article

A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis
A. F. Mejia, Y. Yue, David Bolin, F. Lindgren, M. A. Lindquist
Journal of the American Statistical Association, Journal article 2019
Journal article

Latent Gaussian random field mixture models
David Bolin, J. Wallin, F. Lindgren
Computational Statistics & Data Analysis, Journal article 2019
Journal article

Spatial modeling with R-INLA: A review
H. Rue, G. A. Fuglstad, A. Riebler, David Bolin, J. Illian et al.
Wiley Interdisciplinary Reviews-Computational Statistics, Review article 2018
Review article

Efficient Adaptive MCMC Through Precision Estimation
J. Wallin, David Bolin
Journal of Computational and Graphical Statistics, Journal article 2018
Journal article

Efficient Covariance Approximations for Large Sparse Precision Matrices
P. Siden, F. Lindgren, David Bolin, M. Villani
Journal of Computational and Graphical Statistics, Journal article 2018
Journal article

Level set Cox processes
Anders Hildeman, David Bolin, J. Wallin, J. B. Illian
Spatial Statistics, Journal article 2018
Journal article

Showing 1 - 10 of 30

2020

Multivariate type G Matern stochastic partial differential equation random fields
David Bolin, J. Wallin
Journal of the Royal Statistical Society Series B-Statistical Methodology, Journal article 2020
Journal article

2019

The Rational SPDE Approach for Gaussian Random Fields With General Smoothness
David Bolin, Kristin Kirchner
Journal of Computational and Graphical Statistics, Journal article 2019
Journal article

A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis
A. F. Mejia, Y. Yue, David Bolin, F. Lindgren, M. A. Lindquist
Journal of the American Statistical Association, Journal article 2019
Journal article

Latent Gaussian random field mixture models
David Bolin, J. Wallin, F. Lindgren
Computational Statistics & Data Analysis, Journal article 2019
Journal article

2018

Spatial modeling with R-INLA: A review
H. Rue, G. A. Fuglstad, A. Riebler, David Bolin, J. Illian et al.
Wiley Interdisciplinary Reviews-Computational Statistics, Review article 2018
Review article

Efficient Adaptive MCMC Through Precision Estimation
J. Wallin, David Bolin
Journal of Computational and Graphical Statistics, Journal article 2018
Journal article

Efficient Covariance Approximations for Large Sparse Precision Matrices
P. Siden, F. Lindgren, David Bolin, M. Villani
Journal of Computational and Graphical Statistics, Journal article 2018
Journal article

Level set Cox processes
Anders Hildeman, David Bolin, J. Wallin, J. B. Illian
Spatial Statistics, Journal article 2018
Journal article

Showing 1 - 10 of 30

Page Manager: Webmaster|Last update: 4/19/2017
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