ACEMS Workshop: Intractable Likelihoods & Approximate Bayesian Computation

Name:ACEMS Workshop: Intractable Likelihoods & Approximate Bayesian Computation
Calendar:Conferences & meetings
When:Tue, December 11, 2018 - Wed, December 12, 2018
Description:

workshop logo

ACEMS Workshop: Intractable Likelihoods & Approximate Bayesian Computation

Dates: Tues.–Wednesday 11–12 December
Venue: Room P-504, QUT Gardens Point Campus, Brisbane

The ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS) invites you to attend a free workshop on Intractable Likelihoods and Approximate Bayesian Computation (ABC).

Presenters and tutors

  • Prof. Nial Friel (Univ. College Dublin, Ireland)
  • Dr. Riccardo Rastelli (Univ. College Dublin, Ireland)
  • Dr. Benoit Liquet (ACEMS at QUT)
  • Prof. Tony Pettitt (QUT and Chief Investigator at ACEMS)
  • Tuesday is a basic introductory tutorial style day using R software, suitable if you do not have formal training in statistical inference. You will be introduced to:
    • Examples of data and models with intractable likelihoods
    • Analytic likelihood approximations such as pseudo and composite
    • Indirect and synthetic likelihoods based on simulated data
    • The likelihood-free method known as Approximate Bayesian Computation (ABC)
    • Computational algorithms MCMC, SMC
    • An in-depth example involving the analysis of network data and R libraries
  • Wednesday involves a series of talks about recent research. The speakers and titles for their talks (so far) include:
    • A/Prof. Chris Drovandi, ACEMS @ QUT
    • Anthony Ebert (ACEMS @ QUT)
      ABC for complex queueing models and airport design
    • Prof. Nial Friel (Univ. College Dublin, Ireland)
    • Caitlin Gray (ACEMS @ Univ. Adelaide)
      Simulation for network data
    • Dr Markus Hainy (QUT Visiting Fellow)
      ABC model choice for spatial extreme data
    • Dr Riccardo Rastelli (Univ. College Dublin, Ireland)
      Network data models
    • Dr Matt Moores (ACEMS, Univ. Wollongong)
      Spatial data, Potts models and big data
    • Prof. Scott Sisson (ACEMS @ UNSW)
    • Leah South (ACEMS @ QUT)
      SMC developments for intractable likelihoods
    • Dr Brenda Vo (Univ. New England)
      ABC for cell biology, implicit likelihoods and agent based models
    • Prof. Tony Pettitt (ACEMS @ QUT)

As a participant, you may contribute a presentation up to ten minutes on Wednesday describing your own research.

  • Cost: Free. Lunches and Teas are provided

For more information about the event and to register, please head to the ACEMS website: https://acems.org.au/events/Intractable-Likelihood-Workshop-qut.

Sponsors

  • The University of Melbourne
  • Queensland University of Technology
  • The University of Adelaide
  • The University of Queensland
  • Monash University
  • UNSW Sydney
  • University of Technology Sydney
Location:Queensland University of Technology Gardens Point Campus, Brisbane Map
URL:https://acems.org.au/events/Intractable-Likelihood-Workshop-qut
Created:26 Oct 2018 04:41 am UTC
Modified:26 Oct 2018 04:50 am UTC
By:rmoore
Status:Tentative
Updated: 26 Oct 2018
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