Power Analysis for a new Method of Trapping Mammalian Pests

I recently provided advice on the precision to be expected from a trial of a new method of luring mammalian pests (feral cats, possums, and stoats, for example), to be carried out in Hikaroroa Reserve, near Karitane, NZ. This work was carried out for Thomas Hayward of Mammalian Corrections Unit (Dunedin, NZ), and was valuableContinue reading “Power Analysis for a new Method of Trapping Mammalian Pests”

New Project with Manaaki Whenua (Landcare Research)

I am delighted to be part of the five-year research project “Te Weu o te Kaitiaki – Indigenous Regeneration Pathways” that has just been funded by the Aotearoa New Zealand government. The proposal for this research was co-led led by Phil Lyver and Johanna Yletyinen of Manaaki Whenua (Landcare Research). It will use te aoContinue reading “New Project with Manaaki Whenua (Landcare Research)”

Online Course on Model Averaging

There is now an online course to go with my book on model averaging. This course provides an up-to date overview of the topic, from both the Bayesian and frequentist perspective, including methods that are popular in machine learning, such as bagging and stacking. Recent developments, published since the book came out in 2018, are also covered, including confidenceContinue reading “Online Course on Model Averaging”

Estimating percentiles in air dispersion modelling

I have recently been providing advice to STIMBR (Stakeholders in Methyl Bromide Reduction) on the estimation of percentiles when modelling the dispersion of chemicals in the atmosphere. It was interesting to see just how unreliably the highest upper percentiles of a skewed distribution are estimated, even from a very large sample. This has implications forContinue reading “Estimating percentiles in air dispersion modelling”