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

[Chieh-Hsi Wu]

Dear all,

Apologies for my awful copying and pasting skills.

This Friday at 2 PM Dr Bettina Grün will talk about "Clustering with Bayesian Finite Mixture Models."

Many thanks to Dankmar who kindly pointed out the mistake!

Kind regards,

Jessie

P.S. The information is correct on Twitter, all-stat, Google calendar and MS Teams.


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Chieh-Hsi (Jessie) Wu, PhD

Lecturer in Statistics

School of Mathematics

University of Southampton

________________________________
From: Chieh-Hsi Wu <C-H.Wu at soton.ac.uk>
Sent: 11 October 2021 13:41
To: S3ri-all at lists.soton.ac.uk <S3ri-all at lists.soton.ac.uk>; Socsci-staff-academic at lists.soton.ac.uk <Socsci-staff-academic at lists.soton.ac.uk>; socsci-phd-all at lists.soton.ac.uk <socsci-phd-all at lists.soton.ac.uk>; maths-stats-lists.soton.ac.uk-aliases <maths-stats at lists.soton.ac.uk>; Rong Peng <rp2e13 at soton.ac.uk>; Socsci-ec-all at lists.soton.ac.uk <Socsci-ec-all at lists.soton.ac.uk>; James Hall <J.E.Hall at soton.ac.uk>; maths-stats-pgr at all.soton.ac.uk <maths-stats-pgr at all.soton.ac.uk>; Orouba Almilaji <oalmilaji at bournemouth.ac.uk>; David Culliford <D.J.Culliford at soton.ac.uk>; Christel de Bruijn <Christel.DeBruijn at bcu.ac.uk>; Turing-Southampton at ecs.soton.ac.uk <Turing-Southampton at ecs.soton.ac.uk>; Leo Westbury <lw at mrc.soton.ac.uk>; Faridah Alruwaili <F.Alruwaili at soton.ac.uk>; Peter Thomas <PThomas at bournemouth.ac.uk>; Giuseppe Di Nardo <giuseppe.dinardo at hotmail.it>; Aditya Sivanand <A.Sivanand at soton.ac.uk>; Adetola Adediran <A.A.Adediran at soton.ac.uk>
Subject: S3RI seminar: Bettina Grün (Vienna University of Economics and Business), Friday 15 October

Dear all,

Great to see many of you at the seminar last week.

At the S3RI seminar this *Friday* (15 October) at 2 PM, we have Dr Bettina Grün (Vienna University of Economics and Business) giving a talk on

"Variational Bayes for high-dimensional linear regression with sparse priors."

Please note that this seminar is scheduled outside the standard slot, and please see below for the details of the talk and how to join the seminar online.



Have a good week, and hope to see you at the seminar on Friday!



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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