Scientific Program

The conference will include a President’s invited session and a Presidential address, invited presentations, invited and contributed sessions, and poster sessions. 

Invited Speakers

  • Professor Tomoyuki Higuchi (The Institute of Statistical Mathematics, Japan)
    Smart simulation and smart experimental design
  • Professor Christian Hennig (University College London, UK)
    Decisions that are needed when using cluster analysis,and research that helps with making them
  • Professor Marieke E. Timmerman (University of Groningen, The Netherlands)
    Mixture modelling of multivariate and / or longitudinal data: Arriving at insightful representations
  • Professor Irini Moustaki (London School of Economics & Political Science, UK)
    An overview of hybrid latent variable models and how they can be used to address outliers, flexible distributions of latent variables and issues of data dimensionality
  • Associate Professor Cinzia Viroli (University of Bologna, Italy)
    Classification by Quantiles

Special Sessions

  • [Invited] SP01: Changing Environment, New Challenges, New Responses
  • [Invited] SP02: Classification Models in Finance and Business
  • [Invited] SP03: Clustering and Recommendation Systems
  • [Invited] SP04: Advances in Latent Variable Modeling
  • [Invited] SP05: Challenges in Visualisation and Classification
  • [Invited] SP06: Clustering with Mixture Models 
  • [Invited] SP07: Cluster Validation: New Developments and Issues
  • [Invited] SP08: Methods of Data Analysis and Statistical Measures in the S 
  • [Invited] SP09: Cluster Analysis and Quantification
  • [Invited] SP10: Perspectives of Contingency Table Analysis
  • [Invited] SP11: Robustness and Active Learning with Logistic Models
  • [Invited] SP12: Advanced techniques for analyzing (big) multi-set/multi-subject data
  • [Invited] SP13: Cluster Analysis Using non-Gaussian Mixtures
  • [Invited] SP14: Functional data analysis
  • [Invited] SP15: Leading-edge Research of Clustering and its Applications
  • [Invited] SP16:(Tentative) Enumeration Algorithm and Data Science
  • [Invited] SP17: Judgment and decision making 
  • [Invited] SP18: (Tentative) New development of application of Latent Class Models in heathcare management 
  • [Invited] SP19 New topics with related to classification problems 
  • [Invited] SP20:Recent Problems of Big Data Handling in Official Statistics
  • [Invited] SP21:Causal inference and related topics
  • [Invited] SP22:Bayesian inference and model selection
  • [Invited] SP23:Advances in sparse regression, dimension reduction and related computations
  • [Invited] SP24:Analysis of Micro Official Statistics 
  • [Invited] SP25:The cutting edge of biomedical big data - from bioinformatic methodologies to data analysis