A new modelling framework for fast Bayesian inference in large occupancy data sets by Alex, Emily, Eleni and Byron just published in Biometrics.
The model accounts for spatio-temporal autocorrelation and gives robust inference on species presence, as evidence by the simulation results in the paper and the two case studies on one common and widespread and one rare species, using records from the Butterflies for the New Millennium database, producing occupancy indices spanning 45 years.
Spring term starts with the second half of Python training by Lena :-). Plan for the term in terms of sessions (and cake) below!
The SE@K group are meeting weekly for research lunch and socialising 🙂
Autumn term
First week was about introductions and a tasty lunch at Dolce Vita!
Second week was about staff talking about their research interests, with Diana talking to the group about parameter redundancy.
Third, fourth & fifth week were about research students talking about their research, with Tommy using randomised response techniques to estimate the proportion of people in the group who like/liked their supervisor (!), Milly talking about distance sampling, Ioannis talking about Bayesian non-parametrics and ABC and Lena talking about predator-prey models!
The term went on with learning about Gaussian processes from Alex, about PDEs from Eduard and about Python from Lena!
The one-day workshop, organised by the group in Lille, consisted of a series of talks by researchers from the Universities of Lille, Ghent and Kent.
Eleni gave talks on her work on modelling BeeWalk data and on modelling eDNA data.
