ABC’ory in Banff [17w5025]

And another exciting and animated [last] day of ABC’ory [and practice]!  Kyle Cranmer exposed a density ratio density estimation approach I had not seen before [and will comment here soon]. Patrick Muchmore talked about unbiased estimators of Gaussian and non-Gaussian densities in elliptically contoured distributions which allows for running pseudo-MCMC than ABC. This reminded me of using the same tool [for those distributions can be expressed as mixtures of normals] in my PhD thesis, if for completely different purposes. In his talk, including a presentation of an ABC blackbox platform called ELFI, Samuel Kaski did translate statistical inference as inverse reinforcement learning: I hope this does not catch! In the afternoon, Dennis Prangle gave us the intuition behind his rare event ABC, which is not estimating rare events by ABC but rather using rare event simulation to improve ABC. [A paper I will a.s. comment here soon as well!] And Scott Sisson concluded the day and the week with his views on ABC for high dimensions.

While being obviously biased as the organiser of the workshop, I nonetheless feel it was a wonderful meeting with just the right number of participants to induce interactions and discussions during and around the talk, as well as preserve some time for pairwise interactions. Like all other workshops I contributed to in BIRS along the years

07w5079 2007-07-01 Bioinformatics, Genetics and Stochastic Computation: Bridging the Gap
10w2170 2010-09-10 Hierarchical Bayesian Methods in Ecology
14w5125 2014-03-02 Advances in Scalable Bayesian Computation

this is certainly a highly profitable one! For a [major] change, the next one [18w5023] will take place in Oaxaca, Mexico, and will see computational statistics meet molecular simulation. [As an aside, here are the first and last slides of Ewan Cameron’s talk, appropriately illustrating beginning and end, for both themes of his talk: epidemiology and astronomy!]

201702211013-cameron
img-20170221-wa0006

 

 

4 Responses to “ABC’ory in Banff [17w5025]”

  1. […] outside of computational stats, whom I wouldn’t have met otherwise. Christian blogged about it there. My talk on Inference with Wasserstein distances is available as a video here (joint work with […]

  2. […] of computational stats, whom I wouldn’t have met otherwise. Christian blogged about it there. My talk on Inference with Wasserstein distances is available as a video here (joint work with […]

  3. […] comment and briefly review a short paper I found while doing a bit of research. It also featured in yesterday’s post from the Xi’an’s Og Blog post and it is about an implementation of ABC using the python scripting scientific computing […]

  4. […] Another week starts today. The Information Age is pleased to again share a post from the blog Xi’an’s Og, a blog by a professional statistician. One of today’s  posts from that blog featured another conference (event) presentations within the field of statistical inference and one its  techiques called  ABC (Aproximate Bayesian Computation). The content went like this: ABC’ory in Banff [17w5025] […]

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s