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SPUX: scalable particle Markov Chain Monte Carlo for uncertainty quantification in stochastic ecological models
Šukys, J., & Kattwinkel, M. (2018). SPUX: scalable particle Markov Chain Monte Carlo for uncertainty quantification in stochastic ecological models. In S. Bassini, M. Danelutto, P. Dazzi, G. R. Joubert, & F. Peters (Eds.), Advances in parallel computing: Vol. 32. Parallel computing is everywhere (pp. 159-168). https://doi.org/10.3233/978-1-61499-843-3-159
Toxicokinetic-toxicodynamic modelling in an individual based context–consequences of parameter variability
Ashauer, R. (2010). Toxicokinetic-toxicodynamic modelling in an individual based context–consequences of parameter variability. Ecological Modelling, 221(9), 1325-1328. https://doi.org/10.1016/j.ecolmodel.2010.01.015