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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
Quantification of neighbourhood-dependent plant growth by Bayesian hierarchical modelling
Schneider, M. K., Law, R., & Illian, J. B. (2006). Quantification of neighbourhood-dependent plant growth by Bayesian hierarchical modelling. Journal of Ecology, 94(2), 310-321. https://doi.org/10.1111/j.1365-2745.2005.01079.x