Last year, I blogged about “Correlation and process in species distribution models: bridging a dichotomy”, a paper that we published in a recent special issue of the Journal of Biogeography. Broadly speaking, the paper discusses properties and issues around different approaches to modeling species distributions, with a focus on the extent to which those models…
This week’s edition of Nature featured a comment by Drew Purves and colleagues titled “Ecosystems: Time to model all life on Earth”, in which they propose that we need a new model type, general ecosystem models (GEM), that describe the interplay of all major organism types on earth. They say that GEMs […] could capture…
Our new review on statistical inference for stochastic simulation models is now available at Ecology Letters. The paper discusses how approximate likelihood functions can be generated from stochastic simulations. Such simulation-based likelihood approximations are a very general and powerful tool because they allow us to apply statistical methods to a large class of models such…
theoretical ecology 