Computational Biology 10 bees

This wiki may be outdated, updated info on progress here

Main idea:

• Explain the model
  • tell the story - how to extract individual behaviour from the behaviour of collective
• Model selection
  • obtain rational functions
  • show how to apply different methods for the default model (new bees, synch, agnostic)
  • Scalability of the refinement forces us to deal with parameter space explosion.
  • Hence 2 candidate “sub”-models: linear and sigmoidal
  • Data encoding as the data are sparse
  • Compare the results of optimisation and MH among default and submodels
• Application for 10 bees

Done

check the second project

To Do:

• write backbone/draft @matej
• various issues written in the draft shared with the second project

Future work

• the second project

Supplementary material

• demonstrate that with the linear or sigmoidal model one can see various distribution which can not be drawn from simple distributions