David Bolin - RankMe

18 papers A* 1B 1Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Whittle-Matérn Fields with Variable Smoothness. CoRR Hamza Ruzayqat, Wenyu Lei, David Bolin, George Turkiyyah, Omar M. Knio
2025	J	`jnl`	Efficient Modeling of Spatial Extremes over Large Geographical Domains. J. Comput. Graph. Stat. Arnab Hazra, Raphaël Huser, David Bolin
2025	J	`jnl`	Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals. J. Mach. Learn. Res. David Bolin, Vaibhav Mehandiratta, Alexandre B. Simas
2024	J	`jnl`	Covariance-Based Rational Approximations of Fractional SPDEs for Computationally Efficient Bayesian Inference. J. Comput. Graph. Stat. David Bolin, Alexandre B. Simas, Zhen Xiong
2024	J	`jnl`	Linear cost and exponentially convergent approximation of Gaussian Matérn processes. CoRR David Bolin, Vaibhav Mehandiratta, Alexandre B. Simas
2023	J	`jnl`	Regularity and numerical approximation of fractional elliptic differential equations on compact metric graphs. CoRR David Bolin, Mihály Kovács, Vivek Kumar, Alexandre B. Simas
2023	J	`jnl`	Regularity and numerical approximation of fractional elliptic differential equations on compact metric graphs. Math. Comput. David Bolin, Mihály Kovács, Vivek Kumar, Alexandre B. Simas
2023	J	`jnl`	Template Independent Component Analysis with Spatial Priors for Accurate Subject-Level Brain Network Estimation and Inference. J. Comput. Graph. Stat. Amanda F. Mejia, David Bolin, Yu Ryan Yue, Jiongran Wang, Brian S. Caffo, Mary Beth Nebel
2022	J	`jnl`	Spatial Bayesian GLM on the cortical surface produces reliable task activations in individuals and groups. NeuroImage Daniel Spencer, Yu Ryan Yue, David Bolin, Sarah Ryan, Amanda F. Mejia
2021	A*	`conf`	Efficient methods for Gaussian Markov random fields under sparse linear constraints. NeurIPS David Bolin, Jonas Wallin
2020	J	`jnl`	The COST IRACON Geometry-Based Stochastic Channel Model for Vehicle-to-Vehicle Communication in Intersections. IEEE Trans. Veh. Technol. Carl Gustafson, Kim Mahler, David Bolin, Fredrik Tufvesson
2019	J	`jnl`	Latent Gaussian random field mixture models. Comput. Stat. Data Anal. David Bolin, Jonas Wallin, Finn Lindgren
2017	J	`jnl`	Fast Bayesian whole-brain fMRI analysis with spatial 3D priors. NeuroImage Per Sidén, Anders Eklund, David Bolin, Mattias Villani
2016	B	`conf`	Modeling the Polarimetric mm-Wave Propagation Channel Using Censored Measurements. GLOBECOM Carl Gustafson, David Bolin, Fredrik Tufvesson
2015	J	`jnl`	Statistical Modeling and Estimation of Censored Pathloss Data. CoRR Carl Gustafson, Taimoor Abbas, David Bolin, Fredrik Tufvesson
2015	J	`jnl`	Statistical Modeling and Estimation of Censored Pathloss Data. IEEE Wirel. Commun. Lett. Carl Gustafson, Taimoor Abbas, David Bolin, Fredrik Tufvesson
2013	J	`jnl`	A comparison between Markov approximations and other methods for large spatial data sets. Comput. Stat. Data Anal. David Bolin, Finn Lindgren
2009	J	`jnl`	Fast estimation of spatially dependent temporal vegetation trends using Gaussian Markov random fields. Comput. Stat. Data Anal. David Bolin, Johan Lindström, Lars Eklundh, Finn Lindgren