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2020 – today
- 2024
[j10]David Bolin
, Alexandre B. Simas, Zhen Xiong:
Covariance-Based Rational Approximations of Fractional SPDEs for Computationally Efficient Bayesian Inference. J. Comput. Graph. Stat. 33(1): 64-74 (2024)- [i3]David Bolin, Vaibhav Mehandiratta, Alexandre B. Simas:
Linear cost and exponentially convergent approximation of Gaussian Matérn processes. CoRR abs/2410.13000 (2024) - 2023
- [j9]Amanda F. Mejia, David Bolin, Yu Ryan Yue, Jiongran Wang, Brian S. Caffo, Mary Beth Nebel:
Template Independent Component Analysis with Spatial Priors for Accurate Subject-Level Brain Network Estimation and Inference. J. Comput. Graph. Stat. 32(2): 413-433 (2023) - [j8]David Bolin, Mihály Kovács, Vivek Kumar, Alexandre B. Simas:
Regularity and numerical approximation of fractional elliptic differential equations on compact metric graphs. Math. Comput. 93(349): 2439-2472 (2023) - [i2]David Bolin, Mihály Kovács, Vivek Kumar, Alexandre B. Simas:
Regularity and numerical approximation of fractional elliptic differential equations on compact metric graphs. CoRR abs/2302.03995 (2023) - 2022
- [j7]Daniel Spencer, Yu Ryan Yue, David Bolin, Sarah Ryan, Amanda F. Mejia:
Spatial Bayesian GLM on the cortical surface produces reliable task activations in individuals and groups. NeuroImage 249: 118908 (2022) - 2021
- [c2]David Bolin, Jonas Wallin:
Efficient methods for Gaussian Markov random fields under sparse linear constraints. NeurIPS 2021: 9882-9894 - 2020
- [j6]Carl Gustafson, Kim Mahler, David Bolin, Fredrik Tufvesson:
The COST IRACON Geometry-Based Stochastic Channel Model for Vehicle-to-Vehicle Communication in Intersections. IEEE Trans. Veh. Technol. 69(3): 2365-2375 (2020)
2010 – 2019
- 2019
- [j5]David Bolin, Jonas Wallin, Finn Lindgren:
Latent Gaussian random field mixture models. Comput. Stat. Data Anal. 130: 80-93 (2019) - 2017
- [j4]Per Sidén, Anders Eklund, David Bolin, Mattias Villani:
Fast Bayesian whole-brain fMRI analysis with spatial 3D priors. NeuroImage 146: 211-225 (2017) - 2016
- [c1]Carl Gustafson, David Bolin, Fredrik Tufvesson:
Modeling the Polarimetric mm-Wave Propagation Channel Using Censored Measurements. GLOBECOM 2016: 1-6 - 2015
- [j3]Carl Gustafson, Taimoor Abbas, David Bolin, Fredrik Tufvesson:
Statistical Modeling and Estimation of Censored Pathloss Data. IEEE Wirel. Commun. Lett. 4(5): 569-572 (2015) - [i1]Carl Gustafson, Taimoor Abbas, David Bolin, Fredrik Tufvesson:
Statistical Modeling and Estimation of Censored Pathloss Data. CoRR abs/1504.03977 (2015) - 2013
- [j2]David Bolin, Finn Lindgren:
A comparison between Markov approximations and other methods for large spatial data sets. Comput. Stat. Data Anal. 61: 7-21 (2013)
2000 – 2009
- 2009
- [j1]David Bolin, Johan Lindström, Lars Eklundh, Finn Lindgren:
Fast estimation of spatially dependent temporal vegetation trends using Gaussian Markov random fields. Comput. Stat. Data Anal. 53(8): 2885-2896 (2009)
Coauthor Index
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