Research output per year
Research output per year
Personal profile
Research Overview
Professor Bolin's main research interests are in stochastic partial differential equations and their applications in statistics, with a focus on development of practical, computationally efficient tools for modelling non-stationary and non-Gaussian processes. He also works on uncertainty quantification and visualization for applications in spatial statistics and medical imaging.
Key Research Areas
Applied Mathematics and Computational Science, Machine Learning
Education
Mathematical Statistics, Ph.D., Lund University
2012
Engineering Mathematics, M.S., Lund University
2007
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Collaborations and top research areas from the last five years
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Covariance–Based Rational Approximations of Fractional SPDEs for Computationally Efficient Bayesian Inference
Bolin, D., Simas, A. B. & Xiong, Z., 2023, (Accepted/In press) In: JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS.Research output: Contribution to journal › Article › peer-review
Open Access -
Equivalence of measures and asymptotically optimal linear prediction for Gaussian random fields with fractional-order covariance operators
Bolin, D. & Kirchner, K., 2023, In: Accepted in Bernoulli.Research output: Contribution to journal › Article › peer-review
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Exploring the landscape scale influences of tree cover on crop yield in an agroforestry parkland using satellite data and spatial statistics
Karlson, M., Bolin, D., Bazié, H. R., Ouedraogo, A. S., Soro, B., Sanou, J., Bayala, J. & Ostwald, M., Aug 10 2023, In: Journal of Arid Environments. 218, p. 105051Research output: Contribution to journal › Article › peer-review
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Joint spatial modeling of significant wave height and wave period using the SPDE approach
Hildeman, A., Bolin, D. & Rychlik, I., Feb 9 2022, In: Probabilistic Engineering Mechanics. 68, p. 103203Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Local scale invariance and robustness of proper scoring rules
Bolin, D. & Wallin, J., Jan 1 2022, In: Statistical Science. -1, -1Research output: Contribution to journal › Article › peer-review
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NECESSARY AND SUFFICIENT CONDITIONS FOR ASYMPTOTICALLY OPTIMAL LINEAR PREDICTION OF RANDOM FIELDS ON COMPACT METRIC SPACES
Kirchner, K. & Bolin, D., Apr 7 2022, In: Annals of Statistics. 50, 2, p. 1038-1065 28 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Spatial Bayesian GLM on the cortical surface produces reliable task activations in individuals and groups.
Spencer, D., Yue, Y. R., Bolin, D., Ryan, S. & Mejia, A. F., Jan 15 2022, In: NeuroImage. p. 118908Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
Template independent component analysis with spatial priors for accurate subject-level brain network estimation and inference
Mejia, A. F., Bolin, D., Yue, Y. R., Wang, J., Caffo, B. S. & Nebel, M. B., Jul 22 2022, In: Journal of Computational and Graphical Statistics. p. 1-35 35 p.Research output: Contribution to journal › Article › peer-review
Press/Media
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U.S. Patents Awarded to Inventors in New Hampshire (Oct. 16)
10/16/21
1 item of Media coverage
Press/Media: Press / Media
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Society for Industrial & Applied Mathematics Schedules Session on Gaussian Random Fields in Forward & Inverse UQ
03/3/20
1 item of Media coverage
Press/Media: Press / Media