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- David Bolin
David Bolin
Om David Bolin
Mina huvudsakliga forskningsområden är spatial statistik, spatio-temporal modellering samt beräkningseffektiva inferensmetoder för analys av stora datamängder.
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Extreme Rainfall Events in the Northeastern United States Become More Frequent with Rising Temperatures, but Their Intensity Distribution Remains
Stable
Helga Kristin Olafsdottir, Holger Rootzén, David Bolin
Journal of Climate - 2021 -
Deformed SPDE models with an application to spatial modeling of significant wave
height
Anders Hildeman, David Bolin, Igor Rychlik
Spatial Statistics - 2021 -
Numerical solution of fractional elliptic stochastic PDEs with spatial white
noise
David Bolin, Kristin Kirchner, Mihaly Kovacs
Ima Journal of Numerical Analysis - 2020 -
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 - 2020 -
The Rational SPDE Approach for Gaussian Random Fields With General
Smoothness
David Bolin, Kristin Kirchner
Journal of Computational and Graphical Statistics - 2020 -
Linear mixed effects models for non-Gaussian continuous repeated measurement
data
O. Asar, David Bolin, P. J. Diggle, J. Wallin
Journal of the Royal Statistical Society Series C-Applied Statistics - 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 - 2020 -
Prediction of diffusive transport through polymer films from characteristics of the pore
geometry
Sandra Eriksson Barman, Holger Rootzén, David Bolin
Aiche Journal - 2019 -
Latent Gaussian random field mixture
models
David Bolin, J. Wallin, F. Lindgren
Computational Statistics & Data Analysis - 2019 -
Weak convergence of Galerkin approximations for fractional elliptic stochastic PDEs with spatial white
noise
David Bolin, Kristin Kirchner, Mihaly Kovacs
Bit Numerical Mathematics - 2018 -
Level set Cox
processes
Anders Hildeman, David Bolin, J. Wallin, J. B. Illian
Spatial Statistics - 2018 -
A three-dimensional statistical model for imaged microstructures of porous polymer
films
Sandra Eriksson Barman, David Bolin
Journal of Microscopy - 2018 -
Spatial modeling with R-INLA: A
review
H. Rue, G. A. Fuglstad, A. Riebler, David Bolin, J. Illian, E. Krainski, D. Simpson, F. Lindgren
Wiley Interdisciplinary Reviews-Computational Statistics - 2018 -
Efficient Adaptive MCMC Through Precision
Estimation
J. Wallin, David Bolin
Journal of Computational and Graphical Statistics - 2018 -
Efficient Covariance Approximations for Large Sparse Precision
Matrices
P. Siden, F. Lindgren, David Bolin, M. Villani
Journal of Computational and Graphical Statistics - 2018 -
Calculating Probabilistic Excursion Sets and Related Quantities Using
excursions
David Bolin, F. Lindgren
Journal of Statistical Software - 2018 -
Quantifying the uncertainty of contour
maps
David Bolin, Finn Lindgren
Journal of Computational And Graphical Statistics - 2017 -
Fast Bayesian whole-brain fMRI analysis with spatial 3D
priors
Per Sidén, Anders Eklund, David Bolin, Mattias Villani
NeuroImage - 2016 -
Spatially adaptive covariance
tapering
David Bolin, Jonas Wallin
Spatial Statistics - 2016 -
Calibrating regionally downscaled precipitation over Norway through quantile-based
approaches
David Bolin, Arnoldo Frigessi, Peter Guttorp, Ola Haug, Elisabeth Orskaug, Ida Scheel, Jonas Wallin
Advances in Statistical Climatology, Meteorology and Oceanography - 2016 -
Statistical Modeling and Estimation of Censored Pathloss
Data
C. Gustafson, T. Abbas, David Bolin, F. Tufvesson
IEEE Wireless Communications Letters - 2015 -
Geostatistical Modelling Using Non-Gaussian Matern
Fields
Jonas Wallin, David Bolin
Scandinavian Journal of Statistics - 2015 -
Statistical Prediction of Global Sea Level From Global
Temperature
David Bolin, P. Guttorp, A. Januzzi, D. Jones, M. Novak, H. Podschwit, L. Richardson, Aila Särkkä, C. Sowder, A. Zimmerman
Statistica Sinica - 2015 -
Excursion and contour uncertainty regions for latent Gaussian
models
David Bolin, Finn Lindgren
Journal of The Royal Statistical Society Series B-statistical Methodology - 2015 -
Modeling the cluster decay in mm-wave
channels
C. Gustafson, David Bolin, F. Tufvesson
8th European Conference on Antennas and Propagation, EuCAP 2014 - 2014 -
Multivariate latent Gaussian random field mixture
models
David Bolin, Jonas Wallin, Finn Lindgren
2014 -
Assessing the Uncertainty in Projecting Local Mean Sea Level from Global
Temperature
P. Guttorp, A. Januzzi, M. Novak, H. Podschwit, L. Richardson, C. D. Sowder, A. Zimmerman, David Bolin, Aila Särkkä
Journal of Applied Meteorology and Climatology - 2014 -
Spatial Matérn Fields Driven by Non-Gaussian
Noise
David Bolin
Scandinavian Journal of Statistics - 2013 -
Spatial statistik och beräkningsintensiva
metoder
David Bolin
Qvintensen - 2013 -
A comparison between Markov approximations and other methods for large spatial data
sets
David Bolin, F. Lindgren
Computational Statistics and Data Analysis - 2013 -
Models and methods for random fields in spatial statistics with computational efficiency from Markov properties [Elektronisk
resurs]
David Bolin
2012 -
Spatial models generated by nested stochastic partial differential equations, with an application to global ozone
mapping
David Bolin, Finn Lindgren
Annals of Applied Statistics - 2011 -
Non-traditional stochastic models for ocean
waves
G. Lindgren, David Bolin, F. Lindgren
European Physical Journal: Special Topics - 2010 -
Fast estimation of spatially dependent temporal vegetation trends using Gaussian Markov random
fields
David Bolin, J. Lindström, L. Eklundh, F. Lindgren
Computational Statistics and Data Analysis - 2009