News, Papers

New Biometrics paper

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 2023 SE@K Thursday lunches

Spring term starts with the second half of Python training by Lena :-). Plan for the term in terms of sessions (and cake) below!

  1.  19th of January     Session : Python training II – Lena; Cake : Lena & Daniel
  2.  26th of January     Session : Daniel’s grant; Cake : Diana
  3.  2nd of February    Session : HMM paper – Diana; Cake : Eleni
  4.  9th of February     Session : HMM paper – Daniel; Cake : Oscar
  5.  16th of February   Session : HMM paper – Takis (guest lecture); Cake : Alex
  6.  23rd of February  Session : Variable selection/Hypothesis testing – Alex; Cake : James
  7.  2nd of March        Session : HMM – Fred (guest lecture); Cake : Fabian
  8.  9th of March         Session : Parameter redundancy – Daniel’s take; Cake : Tommy
  9. 16th of March         Session Swedish register data – Bruno&Eleni ; Cake : Milly
  10. 23th of March         Session : Swedish register data – Bruno&Eleni; Cake : Daniel
  11.  30th of March        Session : Spatio-temporal models – Oscar; Cake : Diana
  12.  6th of April             Session : eDNA data – Alex; Cake :  Eleni

Se@k weekly lunches

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!