M.S. Engineering Mathematics, Lund University, 2007
Professor Bolin‘s main research interests are in stochastic partial differential equations and their applications in statistics, with a focus on development of practical, computationally efficient tools for modelling non-stationary and non-Gaussian processes. He also works on uncertainty quantification and visualization for applications in spatial statistics and medical imaging.
D. Bolin, K. Kirchner (2019), The rational SPDE approach for Gaussian random fields with general smoothness, Journal of Computational and Graphical Statistics, To appear.
D. Bolin, K. Kirchner, M. Kovács (2018), Numerical solution of fractional elliptic stochastic PDEs with spatial white noise, IMA Journal of Numerical Analysis, dry091
D. Bolin and F. Lindgren (2015), Excursion and contour uncertainty regions for latent Gaussian models, Journal of the Royal Statistical Society, Series B Methodology, 77, 1, 85-106.
D. Bolin (2014), Spatial Matérn fields driven by non-Gaussian noise, Scandinavian journal of statistics, 41:3, 557-579.
D. Bolin and F. Lindgren (2011), Spatial models generated by nested stochastic partial differential equations, with an application to global ozone mapping, Annals of Applied Statistics, 5, 1, 523-550.