Machine Learning Coffee Seminar: "Likelihood-free inference and predictions for computational epidemiology"

Lecturer : 
Jukka Corander
Event type: 
Event time: 
2017-01-30 09:15 to 10:00
Exactum D123, Kumpula

Helsinki region machine learning researchers will start our week by an exciting machine learning talk and discussion over coffee. The talks will start 9:15, with coffee served from 9:00. This week's talk is:

Likelihood-free inference and predictions for computational epidemiology
Jukka Corander
Professor, University of Helsinki and University of Oslo
Simulator-based models often allow inference and predictions under more realistic assumptions than those employed in standard statistical models. For example, the observation model for an underlying stochastic process can be more freely chosen to reflect the characteristics of the data gathering procedure. A major obstacle for such models is the intractability of the likelihood, which has to a large extent hampered their practical applicability. I will discuss recent advances in likelihood-free inference that greatly accelerate the model fitting process by exploiting a combination of machine learning techniques. Applications to several novel models in infectious disease epidemiology are used to illustrate the potential offered by this approach.

Last updated on 4 Jan 2017 by Noora Suominen de Rios - Page created on 4 Jan 2017 by Noora Suominen de Rios