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\newcommand{\Bauer2015}{P. Bauer and S. Engblom. Sensitivity Estimation and Inverse Problems in Spatial Stochastic Models of Chemical Kinetics. In: A. Abdulle, S. Deparis, D. Kressner, F. Nobile and M. Picasso (eds.), \emph{Numerical Mathematics and Advanced Applications - ENUMATH 2013}, pp. 519--527, Lecture Notes in Computational Science and Engineering, vol 103. Springer, Cham, 2015. \doi{10.1007/978-3-319-10705-9_51}}

\newcommand{\Bauer2016}{P. Bauer, S. Engblom and S. Widgren. Fast Event-Based Epidemiological Simulations on National Scales. \emph{International Journal of High Performance Computing Applications}, \strong{30}(4), 438--453, 2016. doi: 10.1177/1094342016635723}

\newcommand{\CisewskiKehe2019}{J. Cisewski-Kehe, G. Weller and C. Schafer. A preferential attachment model for the stellar initial mass function. \emph{Electronic Journal of Statistics}, \strong{13}(1), 1580--1607, 2019. \doi{10.1214/19-EJS1556}}

\newcommand{\Sugiyama2008}{M. Sugiyama, T. Suzuki, S. Nakajima, H. Kashima, P. von Bunau, and M. Kawanabe. Direct importance estimation for covariate shift adaptation. \emph{Annals of the Institute of Statistical Mathematics}, \strong{60}(4), 699--746, 2008. \doi{10.1007/s10463-008-0197-x}}

\newcommand{\Simola2021}{U. Simola, J. Cisewski-Kehe, M. U. Gutmann, J. Corander. Adaptive Approximate Bayesian Computation Tolerance Selection. \emph{Bayesian Analysis}, \strong{16}(2), 397--423, 2021. doi: 10.1214/20-BA1211}

\newcommand{\Gordon1993}{N. J. Gordon, D. J. Salmond, and A. F. M. Smith. Novel Approach to Nonlinear/Non-Gaussian Bayesian State Estimation. \emph{Radar and Signal Processing, IEE Proceedings F}, \strong{140}(2) 107--113, 1993. \doi{10.1049/ip-f-2.1993.0015}}

\newcommand{\Toni2009}{T. Toni, D. Welch, N. Strelkowa, A. Ipsen, and M. P. H. Stumpf. Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems. \emph{Journal of the Royal Society Interface} \strong{6}, 187--202, 2009. \doi{10.1098/rsif.2008.0172}}

\newcommand{\Widgren2019}{S. Widgren, P. Bauer, R. Eriksson and S. Engblom. \pkg{SimInf}: An \proglang{R} Package for Data-Driven Stochastic Disease Spread Simulations. \emph{Journal of Statistical Software}, \strong{91}(12), 1--42. \doi{10.18637/jss.v091.i12}. An updated version of this paper is available as a vignette in the package.}
