[Turing-Southampton] S3RI seminar: Bettina Grün (Vienna University of Economics and Business), TODAY (Friday 15 October)

[Chieh-Hsi Wu]

Dear all,

Hope everyone has been having a good week.

At the S3RI seminar today at 2 PM (UK time), we have Dr Bettina Grün (Vienna University of Economics and Business) giving a talk on

"Clustering with Bayesian Finite Mixture Models."

Please see below for the details of the talk and how to join the seminar online.



Hope to see you at the seminar at 2 PM!



Kind regards,

Jessie



Clustering with Bayesian Finite Mixture Models
Bettina Grün (Vienna University of Economics and Business)

Finite mixture models are a useful statistical model class for clustering and density approximation. In the Bayesian framework, finite mixture models require the specification of suitable priors in addition to the data model.

These priors allow to avoid spurious results and provide a principled way to define cluster shapes and a preference for specific cluster solutions. A generic model estimation scheme for finite mixtures with a fixed number of components is available using Markov chain Monte Carlo sampling with data augmentation. The posterior allows to assess uncertainty in a comprehensive way, but component-specific posterior inference requires resolving the label switching issue. Focusing on the application of Bayesian finite mixture models for clustering, we first discuss suitable specifications,
estimation and inference of the model if the number of components is assumed to be known. We then continue to explain suitable strategies for fitting Bayesian finite mixture models when the number of components is not known considering also recent advances.
<To Join the Online Seminar>
Join on your computer or mobile app
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<Details for jointing S3RI team on Microsoft Teams>

If you would like to join the S3RI team on Microsoft Teams, please use the link below:

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