Model averaging in ecology: a review of Bayesian, information-theoretic and tactical approaches for predictive inference

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.

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Yes, statistical errors are slowing down scientific progress!

Over at dynamic ecology,  Jeremy Fox argues that Technical statistical mistakes are overrated; ecologists (especially students) worry too much about them. Individually and collectively, technical statistical mistakes hardly ever appreciably slow the progress of entire subfields or sub-subfields. And fixing them rarely meaningfully accelerates progress. continuing with Don’t agree? Try this exercise: name the most…

What’s wrong with null models?

A guest post by Carsten F. Dormann Over the last years, I have been using null models more often than I liked. I had to, when there was no other way to figure out if an ecological pattern was unexpected, or trivial. Inspired by some recent (and also some older) posts, I thought I might throw around…