Network and Clustering Analysis for Emerging Applications (In Person)

Date: Friday 13 December 2024, 1.30PM - 5.00PM
Department of Mathematics, Imperial College London (Huxley Building); Exact room to be confirmed
Section Group Meeting
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The RSS Emerging Applications section committed in promoting novel statistical methodology for challenging application areas is organising a meeting on network and clustering analysis. A variety of application areas will be presented and the implementation of methods for analysing datasets from these areas will be presented. 
 
 
  • Christian Hennig
University of Bologna; https://www.unibo.it/sitoweb/christian.hennig/en
"The role of data visualisation in cluster analysis"
  • Anastasia Mantziou
University of Warwick
https://warwick.ac.uk/fac/sci/statistics/staff/academic-research/mantziou/
"Bayesian model-based clustering for populations of network data"
  • Antonio Lijoi 
University of Bocconi
https://mypage.unibocconi.eu/antoniolijoi/
title: "Partially exchangeable stochastic block models for multilayer networks"
  • Anna Calissano
Imperial College London
https://annacalissano.com/projects/
"Metric Statistics for Geometric Graphs with Application to Cardiac Fibrosis."
  • Dr Paul Kirk
University of Cambridge MRC Biostatistics Unit
https://www.mrc-bsu.cam.ac.uk/staff/paul-kirk
Title: TBA
 
 
Contact Marina Evangelou
 

Concessionary Fellows:          £20

Fellows:                                   £25

Non-Fellows                            £40

 
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