This (co-)guest post by Carsten F. Dormann & Florian Hartig summarizes a comprehensive review on model averaging for predictive inference, just published in Ecological Monographs.
As I said before, I firmly side with Andrew Gelman (see e.g. here) in that model checking is dangerously neglected in Bayesian practice. The philosophical criticism against “rejecting” models (double-using data etc. etc.) is all well, but when using Bayesian methods in practice, I see few sensible alternatives to residual checks (both guessing a model and…
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.…
I’ve just returned from two weeks in France, the first week on the International Statistical Ecology Conference 2014 in Montpellier, and the second at the Laboratoire d’Écologie Alpine (LECA) in Grenoble, visiting the groups of Wilfried Thuiller and Sébastien Lavergne, which was both great. Some impressions from the ISEC: First of all, my compliments to…
theoretical ecology 