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Last Tuesday we got together for the 4th Bayesian Mixer Meetup
. Product Madness
kindly hosted us at their offices in Euston Square. About 50 Bayesians came along; the biggest turn up thus far, including developers of PyMC3
) and Stan
The agenda had two feature talks by Dominic Steinitz
and Volodymyr Kazantsev
and a lightning talk by Jon Sedar
Dominic shared with us his experience of using Hamiltonian and Sequential Monte Carlo samplers to model ecosystems
Finding the ‘best’ model was Volodymyr’s challenge
. He tried various R packages (BMA
) for Bayesian model averaging, with various degrees of success.
Finally, Jon gave a brief overview on Daft
, a nifty Python package for creating graphs, or plate notation.
The next Bayesian Mixer Meetup
meeting is already scheduled for 21 October. We will be back at Cass Business School, with two talks:
- Darren Wilkinson: Hierarchical Bayesian Modelling of Growth Curves inc Stochastic Processes
- Peadar Coyle: Advanced PyMC3