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  • Book of Abstracts (6.Dec.2021)
  • Access the virtual part (27.Nov.2020)
  • Access the in-person and hybrid part (27.Nov.2020)
  • Social events (27.Nov.2020)
  • Announcements (27.Nov.2020)
  • Professional meetings (27.Nov.2020)
  • Programme (18.Nov.2021)


  • Sponsored by
    CFE 2021 Special Invited Sessions
    • CI008: New developments in high-dimensional econometrics (hybrid)
      Organizers: Degui Li
      Michael Vogt, University of Ulm, Germany.
      Haeran Cho, University of Bristol, United Kingdom.
      Ruijun Bu, University of Liverpool, United Kingdom.
    • CI010: Big data and macroeconomics (virtual)
      Organizers: Alessia Paccagnini
      Anna Bykhovskaya, University of Wisconsin - Madison, United States.
      Chiara Scotti, Board of Governors of the Federal Reserve System, United States.
    • CI012: Recent advances in high-dimensional statistics (virtual)
      Organizers: Mark Podolskij
      Yuta Koike, University of Tokyo, Japan.
      Mark Podolskij, University of Luxembourg, Luxembourg.
      Moritz Jirak, University of Vienna, Austria.
    • CI014: Advances in macro and finance (virtual)
      Organizers: Martin Wagner
      Martin M Andreasen, Aarhus University, Denmark.
      Joshua Chan, Purdue University, United States.
    • CI026: Variational inference for big models (virtual)
      Organizers: Michael Smith
      Michael Smith, University of Melbourne, Australia.
      David Nott, National University of Singapore, Singapore.
      Matt P Wand, University of Technology Sydney, Australia.
    • CI880: Forecasting (virtual)
      Organizers: Michael Owyang
      Michael McCracken, Federal Reserve Bank of St. Louis, United States.
      Ana Galvao, University of Warwick, United Kingdom.
      Michael Owyang, Federal Reserve Bank of St Louis, United States.
    CMStatistics 2021 Special Invited Sessions
    • EI016: Design and analysis of experiments (hybrid)
      Organizers: Kalliopi Mylona
      Hans-Peter Piepho, Universitaet Hohenheim, Germany.
      John Stufken, University of North Carolina at Greensboro, United States.
      Jesus Lopez-Fidalgo, University of Navarra, Spain.
    • EI018: Causal inference with machine learning (virtual)
      Organizers: Xavier de Luna
      Joseph Antonelli, University of Florida, United States.
      Ivan Diaz, Weill Cornell Medicine, United States.
      Max Farrell, University of Chicago, United States.
    • EI022: Bayesian model and variable selection (hybrid)
      Organizers: Francisco Javier Rubio
      David Rossell, Universitat Pompeu Fabra, Spain.
      Mahlet Tadesse, Georgetown University, United States.
      Veronika Rockova, University of Chicago, United States.