Fast estimation of spatially dependent temporal vegetation trends using Gaussian Markov random fields. - David Bolin; Johan Lindström; Lars Eklundh; Finn Lindgren (Comput. Stat. Data Anal., 2009)

A comparison between Markov approximations and other methods for large spatial data sets. - David Bolin; Finn Lindgren (Comput. Stat. Data Anal., 2013)

Statistical Modeling and Estimation of Censored Pathloss Data. - Carl Gustafson; Taimoor Abbas; David Bolin; Fredrik Tufvesson (IEEE Wirel. Commun. Lett., 2015)

Modeling the Polarimetric mm-Wave Propagation Channel Using Censored Measurements. - Carl Gustafson; David Bolin; Fredrik Tufvesson (GLOBECOM, 2016)

Fast Bayesian whole-brain fMRI analysis with spatial 3D priors. - Per Sidén; Anders Eklund 002; David Bolin; Mattias Villani (NeuroImage, 2017)

Latent Gaussian random field mixture models. - David Bolin; Jonas Wallin; Finn Lindgren (Comput. Stat. Data Anal., 2019)

The COST IRACON Geometry-Based Stochastic Channel Model for Vehicle-to-Vehicle Communication in Intersections. - Carl Gustafson; Kim Mahler; David Bolin; Fredrik Tufvesson (IEEE Trans. Veh. Technol., 2020)

Efficient methods for Gaussian Markov random fields under sparse linear constraints. - David Bolin; Jonas Wallin (NeurIPS, 2021)

Spatial Bayesian GLM on the cortical surface produces reliable task activations in individuals and groups. - Daniel Spencer; Yu Ryan Yue; David Bolin; Sarah Ryan; Amanda F. Mejia (NeuroImage, 2022)

Regularity and numerical approximation of fractional elliptic differential equations on compact metric graphs. - David Bolin; Mihály Kovács; Vivek Kumar; Alexandre B. Simas (Math. Comput., 2023)

Template Independent Component Analysis with Spatial Priors for Accurate Subject-Level Brain Network Estimation and Inference. - Amanda F. Mejia; David Bolin; Yu Ryan Yue; Jiongran Wang; Brian S. Caffo; Mary Beth Nebel (J. Comput. Graph. Stat., 2023)

Linear cost and exponentially convergent approximation of Gaussian Matérn processes. - David Bolin; Vaibhav Mehandiratta; Alexandre B. Simas (CoRR, 2024)

Covariance-Based Rational Approximations of Fractional SPDEs for Computationally Efficient Bayesian Inference. - David Bolin; Alexandre B. Simas; Zhen Xiong (J. Comput. Graph. Stat., 2024)