Author Archives: davidatkaritane

My work on estimating maximum population growth rate for New Zealand marine mammal populations has recently been published as part of a report produced by Proteus Wildlife Research Consultants for the New Zealand Ministry of Primary Industries. This report provides an assessment of the risk to marine mammal populations from fisheries in New Zealand waters,Continue reading “Report on fisheries bycatch risk to marine mammals in New Zealand”

Congratulations to Mark Herse on publishing his paper on population modelling of black swans, with a view to customary management, which can be found here. It was a pleasure to provide Mark with advice on some of the statistical and modelling issues he encountered during this work.

I recently gave a talk at the Swiss Ornithological Institute in Sempach about my work on the population dynamics of tītī (sooty shearwater), which has recently been published here.

The dates have now been set for the two online courses I am running in 2022 for the Center for Wildlife Studies: Bayesian Statistics in Ecology (6-30 September) This course provides an introduction to Bayesian data analysis. There is an emphasis on the flexibility this provides in the types of models that can be used,Continue reading “Online Courses in 2022”

Tim Jowett and I have just published a paper on single-fit bootstrapping, which provides a simple means of calculating a confidence interval for a non-linear function of model parameters. The idea is not new, but we thought it should be more widely known, as it is simpler and more reliable than a Wald interval basedContinue reading “Single-fit Bootstrapping paper”

I am part of a research group led by Phil Lyver at Manaaki Whenua (Landcare) that is working with the Rakiura Tītī Islands Administering Body on the population dynamics of tītī (sooty shearwater). Our most recent work has recently appeared in the following papers: David Fletcher, Jamie Newman, Sam McKechnie, Corey Bragg, Peter Dillingham, Rosemary Clucas, DarrenContinue reading “Modelling the population dynamics of tītī”

My model averaging course will now be hosted by The Center for Wildlife Studies (CWS). The first offering of this will be in October 2022, and details can be found here. I will also be developing an introductory course on Bayesian Statistics, to be hosted by CWS, that will be offered in September 2022. I’ll post moreContinue reading “New Courses”

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”

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)”

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”