2019

S. Widgren, P. Bauer, R. Eriksson, and S. Engblom: SimInf: An R package for data-driven stochastic disease spread simulations

• In J. Stat. Softw., 91(12):1–42 (2019) (doi).
• DiVA record.
• Available via arXiv.
• Download the latest version of SimInf at www.siminf.org.

J. Lindén, P. Bauer, S. Engblom, and B. Jonsson: Exposing inter-process information for efficient PDES of spatial stochastic systems on multicores

• In ACM Trans. Model. Comput. Simul., 29(2):11:1–25 (2019) (doi).
• DiVA record.

J. Liu, G. Schot, S. Engblom: Supervised Classification Methods for Flash X-ray single particle diffraction Imaging

• In Opt. Express, 27(4):3884–3899 (2019) (doi).
• DiVA record.
• Available via arXiv.

S. Engblom: Stochastic simulation of pattern formation in growing tissue: a multilevel approach

• In Bull. Math. Biol., 81:3010–3023 (2019) (doi).
• DiVA record.
• Available via arXiv.

D. Arjmand, S. Engblom, G. Kreiss: Temporal upscaling in micro magnetism via heterogeneous multiscale methods

• In J. Comput. Appl. Math. 345:99–113 (2019) (doi).
• DiVA record.
• Available via arXiv.

S. Widgren, T. Rosendal, S. Engblom, and K. Ståhl: SimInf for spatio-temporal data-driven modeling of African swine fever in Swedish wildboar

• In GeoVet 2019: Novel spatio-temporal approaches in the era of Big Data (url)