David Bolin

According to our database, David Bolin authored at least 16 papers between 2009 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Whittle-Matérn Fields with Variable Smoothness.

Hamza Ruzayqat, Wenyu Lei, David Bolin, George Turkiyyah, Omar M. Knio

CoRR, February, 2026

2025

Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals.

David Bolin, Vaibhav Mehandiratta, Alexandre B. Simas

J. Mach. Learn. Res., 2025

Efficient Modeling of Spatial Extremes over Large Geographical Domains.

Arnab Hazra, Raphaël Huser, David Bolin

J. Comput. Graph. Stat., 2025

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

Linear cost and exponentially convergent approximation of Gaussian Matérn processes.

David Bolin, Vaibhav Mehandiratta, Alexandre B. Simas

CoRR, 2024

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., April, 2023

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

2022

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

2021

Efficient methods for Gaussian Markov random fields under sparse linear constraints.

David Bolin, Jonas Wallin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

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

2019

Latent Gaussian random field mixture models.

David Bolin, Jonas Wallin, Finn Lindgren

Comput. Stat. Data Anal., 2019

2017

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

Per Sidén, Anders Eklund, David Bolin, Mattias Villani

NeuroImage, 2017

2016

Modeling the Polarimetric mm-Wave Propagation Channel Using Censored Measurements.

Carl Gustafson, David Bolin, Fredrik Tufvesson

Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015

Statistical Modeling and Estimation of Censored Pathloss Data.

Carl Gustafson, Taimoor Abbas, David Bolin, Fredrik Tufvesson

IEEE Wirel. Commun. Lett., 2015

2013

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

David Bolin, Finn Lindgren

Comput. Stat. Data Anal., 2013

2009

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