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High-dimensional statistics

The ability to collect and store data on previously unimaginable scales has had a dramatic impact on a huge variety of fields within science and commerce. 'Big Data' present both substantial challenges, as well as exciting opportunities, for statisticians. The working group on high-dimensional statistics provides a forum for the exchange of ideas in order to exploit these opportunities to maximal effect.

Organized Sessions associated with this Track
  • EO029: Recent advances in high dimensional statistics
    Organizers: Moulinath Banerjee
  • EO051: High dimensional model selection
    Organizers: Malgorzata Bogdan
  • EO264: Testing in complex problems
    Organizers: Cristina Butucea, Jan Johannes
  • EO326: Emerging problems in high-dimensional data analysis
    Organizers: Cmstatistics Wg
  • EO382: Recent advances on high-dimensional statistics
    Organizers: Ines Wilms
  • EO394: High-dimensional inference
    Organizers: Rajen D Shah
  • EO461: Model selection and inference
    Organizers: Ulrike Schneider
  • EO534: Recent developments in high-dimensional modeling, inference and computation
    Organizers: Yun Yang
  • EO559: Advances in high-dimensional data analysis
    Organizers: Hao Chen, Lan Wang
  • EO629: Recent developments in hypothesis testing for high dimensional data
    Organizers: Ping-Shou Zhong