Overview
Time Tuesday, February 8 Time Wednesday, February 9 Time Thursday, February 10 Time Friday, February 11
    08:30 - 09:10 Registration        
09:00 - 09:30 Registration 09:10 - 09:30 Welcome (Matagrin) 08:45 - 09:00 Registration 08:45 - 09:00 Registration
09:30 - 11:00 Sebastien Lê 09:30 - 10:30 Invited lecture (Matagrin) 09:00 - 10:30 Invited lecture (Matagrin) 09:00 - 10:30 Invited lecture (Matagrin)
  From one to multiple data tables with FactoMineR   Volpato Richard: Letting data speak: Enunciative modalities of correspondence analysis Monica Becue-Bertaut: Textual and lexical statistics Cajo ter Braak: History of canonical correspondence analysis (CCA) in ecology
      Brigitte Le Roux: Birth of CA in Rennes and what's new 40 years later? Pieter Kroonenberg: Three-mode correspondence analysis: Some history and an ecological example from the sea bed Stephane Dray: Analyzing spatial multivariate structures
11:00 - 11:30 Coffee Break 10:30 - 11:00 Coffee Break + Poster 10:30 - 11:00 Coffee Break + Poster 10:30 - 11:00 Coffee Break + Poster
11:30 - 13:00 Stephane Dray   Rieffel Room 1   Rieffel Room 1   Rieffel Room 1
  Multivariate analysis of ecological data with ade4 11:00 - 13:00 CA & MCA: Theory & algorithms Related methods: Applications 11:00 - 12:00 Three-way data MCA-methods in the social sciences 11:00 - 12:00 Modelling Social space - application
  12:00 - 13:00 Textual data 12:00 - 13:00 Clustering
13:00 - 14:30 Lunch Break 13:00 - 14:30 Lunch Break 13:00 - 14:30 Lunch Break 13:00 - 14:30 Lunch Break
14:30 - 16:00 Patrick Mair & Jan de Leeuw 14:30 - 16:00 Invited lecture (Matagrin) 14:30 - 16:00 Invited lecture (Matagrin) 14:30 - 16:00 Invited lecture (Matagrin)
    Ludovic Lebart: About the history of multiple correspondence analysis John Gower: Biplots: Taking stock Jan de Leeuw: History of nonlinear principal component analysis
  Multidimensional scaling using majorization with smacof   Pierre Cazes: Some comments on correspondence analysis Michael Friendly: Advances in visualizing categorical data Patrick Groenen: Past, present, and future of multidimensional scaling
    Maurice Roux: Cluster analysis with k-means: what about the details? 16:00 - 16:10 Poster awards & closing session
      16:00 - 16:20 Speed presentation of posters      
16:00 - 16:30 Coffee Break 16:20 - 17:00 Coffee Break + Poster 16:00 - 16:30 Coffee Break + Poster
16:30 - 18:00 Oleg Nenadic & Michael Greenacre   Rieffel Room 1   Rieffel Room 1
  17:00 - 18:20 Related methods: Computation Sensory analysis 16:30 - 17:50 Biplots Social space - methodology
  Correspondence analysis with ca 17:50 - 18:30 MFA: Applications
18:15 Welcome party 19:00 City Hall 19:00 Conference dinner evening Closing conference supper party (informally, not further organized)