Notes from 2nd Bayesian Mixer Meetup

April 19, 2016

(This article was first published on mages' blog, and kindly contributed to R-bloggers)

Last Friday the 2nd Bayesian Mixer Meetup (@BayesianMixer) took place at Cass Business School, thanks to Pietro Millossovich and Andreas Tsanakas, who helped to organise the event.

Bayesian Mixer at Cass

First up was Davide De March talking about the challenges in biochemistry experimentation, which are often characterised by complex and emerging relations among components.

The very little prior knowledge about complex molecules bindings left a fertile field for a probabilistic graphical model. In particular, Bayesian networks can help the investigator in the definition of a conditional dependence/independence structure where a joint multivariate probability distribution is determined. Hence, the use of Bayesian network can lead to a more efficient way of designing experiments.

Davide De March: Bayesian Networks to design optimal experiments

The second act of the night was Mick Cooney, presenting ideas of using growth curves to estimate the ultimate amounts paid in insurance by some cohort of policies.

The talk showed a model for these curves, discussed the implementation in Stan and how posterior predictive checks can be used to assess the output of the model.

Mick Cooney: Bayesian Modelling for Loss Curves in Insurance

Thanks again to everyone who helped to make the event a success, particularly our speakers and Jon Sedar of Applied AI.

We are planning to run another event in mid-June. Please get in touch via our Meetup site with ideas and talk proposals.

To leave a comment for the author, please follow the link and comment on their blog: mages' blog. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)