The Fifth Workshop on Bayesian Inference for Latent Gaussian Models with Applications

Following four successful meetings in Zürich in 2011, Trondheim 2012 and 2015, and Reykjavik 2013 we are pleased to announce that the Fifth Workshop on Bayesian Inference for Latent Gaussian Models with Applications will be held in Bath 14-16 September 2016. Latent Gaussian models have numerous applications, for example in the social sciences, spatial and spatio-temporal data, epidemiology, climate modelling, and image processing. This workshop brings together researchers who develop methodology and fit datasets in this broad model class.

Update: The timetable is now available. The book of abstracts is available here.

Location, dates, and activities

    • Where: University of Bath, Somerset, United KingdomWhen: Wed 14th - Fri 16th September 2016

    • What: (preliminary timings)

      • 9:00-12:30 Wed 14th, short course on Stan with Michael Betancourt

      • 14:00-17:00 Wed 14th, invited and contributed talks

      • 09:00-16:00 Thu 15th, invited and contributed talks

      • 16:00-later Thu 15th, posters and nibbles

      • 09:00-16:45 Fri 16th, invited and contributed talks

Registration

The registration fee is £100.

There is a limited amount of space, so we are asking for expressions of interest. You will be informed of the result and invited to register soon after 1 July, 2016. The registration fee is due 19 August, 2016.

The expression of interest form contains space for abstract submission, and preference will be given to people who submit an abstract for a talk or a poster.

Update 22/7/2016: All of our talk slots have been filled, but any new participants are still welcome to submit a poster abstract up to 19 August, 2016.

Expression of interest

Summary of key dates:

    • Expression of interest is open until the space constraint ceiling is reached

    • Speakers and participants will be informed and invited to register soon after 1 July, 2016.

    • Registration fee is due 19 August, 2016.

    • Conference runs from 14-16 September, 2016.

Short course on Stan

Michael Betancourt will give a 3 hour tutorial on HMC and Stan before lunch on Wednesday 14 September.

Update:

This tutorial will aim to provide an interaction introduction to

the use of Stan in R with RStan and ShinyStan. We’ll write

and fit a few models, analyze those fits using numerical and

visual diagnostics, and investigate potential solutions for

poor fits.

Anyone interested in attending is encouraged to download

the latest versions of RStan and ShinyStan before the

conference. For help with installation issues please read

the instructions with careful attention to the RTools

dependencies,

https://github.com/stan-dev/rstan/wiki/RStan-Getting-Started,

and then consult the Stan Users’ List if there are still problems.

RStan 2.11.1

https://cran.r-project.org/web/packages/rstan/index.html,

ShinyStan 2.2.1

https://cran.r-project.org/web/packages/shinystan/index.htm

Invited speakers

Scientific committee

    • Janine Illian, University of St Andrews

    • Finn Lindgren, University of Bath

    • Daniel Simpson, University of Bath

    • Andrea Riebler, NTNU, Trondheim

Organising committee