Tag Archives: probability

Writing concisely about indices of extinction risk

Edit: An updated version of the paper mentioned in this post is available at bioRxiv: http://dx.doi.org/10.1101/000760 (and now it is published: http://dx.doi.org/10.1111/cobi.12308) A post on the joys of editing science. For three years I have worked on a paper in … Continue reading

Posted in Communication, Ecological indices, New research | Tagged , , , , , , , , , , , , , , | 4 Comments

INTECOL talk, #INT13

I’m talking in the S11 Maths, Models & Methods session at INTECOL on Tuesday at 11:15 in room 4. The topic is “Developing biodiversity indices using models”. A copy of the slides is available here. I’ll also auto-tweet a little … Continue reading

Posted in CEED, Communication, Ecological indices, Probability and Bayesian analysis | Tagged , , , , , , , , , | 1 Comment

Statistical inference in ecology

Update: a pdf of an updated version of this chapter is available here. If this post had a single take-home message, it would be this: whatever statistical method you use, make sure that you use and report it appropriately. I’m … Continue reading

Posted in New research, Probability and Bayesian analysis | Tagged , , , , , , , , , , , , , , | 22 Comments

Considering uncertainty in environmental management decisions

This is a post about a new paper, which forms part of the PhD thesis of Yacov Salomon. Yacov is jointly enrolled in the School of Botany and the Department of Mathematics and Statistics at The University of Melbourne. Salomon, … Continue reading

Posted in Ecological models, New research, Probability and Bayesian analysis | Tagged , , , , , , , , , , , , , , , , | 2 Comments

Effects of timber harvesting on water yield from mountain ash forests

The effect of timber harvesting on water yield from mountain ash forest has been studied for decades. It is topical because mountain ash forests supply a large amount of water to Melbourne, a city of more than 4 million people. … Continue reading

Posted in Communication, Probability and Bayesian analysis | Tagged , , , , , , , , | 8 Comments

Nate Silver would be more of a guru if Romney wins Florida

Nate Silver is a prediction guru (or perhaps a witch). He compiles data from polling results, that he weights by sample size and measures of historical reliability, to predict the winner of the US presidential election. He calculates the probability … Continue reading

Posted in Probability and Bayesian analysis | Tagged , , , , , | 4 Comments