Two events I’m involved in that may be interesting for people that work on connecting process-based vegetation models to data. Both are organized through CA 1304 PROFOUND, and fully funded by COST: There will be a training school on Bayesian calibration, forecasting and multi-model predictions of process-based vegetation models in Rencurel / Grenoble, France, 12.-16.…
We are looking for candidates to fill a 3-yr postdoc position in our lab. The plan is to use Bayesian statistics to connect a process-based forest model to data, and use the fitted models to test the effect of functional diversity on ecosystem responses and community stability. Details here or via NatureJobs.
I just arXived the final version of our technical note “Approximate Bayesian parameterization of a process-based tropical forest model” (coauthored with Claudia Dislich, Thorsten Wiegand and Andreas Huth) that is now accepted and will appear in Biogeosciences soon. There have been a few minor changes in response to reviewer comments on a discussion version of…
The end of last year has been busy, with the result that my blogging activity had nearly ceased. No R holiday cards or end-of-the-year posts like other people. I’m happy to say though that, at least in spirit, but hopefully soon in writing as well, I’m back on track, so more frequent posting will commence…
Biogeosciences just published a discussion paper on a project I have been working on for quite a while now, namely on likelihood approximations for stochastic forest models (see also our review on the topic of simulation-based inference in general). From the technical side, it may be interesting that we don’t use Approximate Bayesian Computation (ABC),…
theoretical ecology 