Godt Hjort: A two day seminar in honour of Professor Nils Lid Hjort's 70th anniversary

We invite you to a two day seminar celebrating Nils Lid Hjort's significant and extensive contributions in statistics.

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Nils Lid Hjort

This seminar is a celebration of Nils Lid Hjort's numerous and substantial contributions in the field of statistics, and an opportunity for colleagues, students and friends to come together to celebrate Nils and his accomplishments. 

 

The registration is now closed. You are warmly welcome to attend even if you have not registered, but we will not be able to serve you lunch. 

Monday December 4th

  • 10:15 – 10:30 Preludium
  • 10:30 – 11:30 Ørnulf Borgan & Ingrid Glad: Nils Lid Hjort 70: A short walk through a long and splendid career
  • 11:30 – 12:00 Henning Omre: NLH-memories & Grid-free spatial modelling
  • 12:00 – 13:00 Lunch
  • 13:00 – 13:45 Gerda Claeskens: Selective inference using randomized group lasso estimators

  • 13:45 – 14:15 Gudmund Hermansen: Focused Regularised Likelihood

  • 14:15 – 14:45 Coffee break

  • 14:45 – 15:30 Ingrid Van Keilegom: Copula based Cox proportional hazards models for dependent censoring

  • 15:30 – 16:00 Steffen Grønneberg: Sum scores in questionnaires, some asymptotic results and partial identification calculations

Tuesday December 5th

  • 09:15 – 09:45 Bård Støve: Modelling time-varying nonlinear dependence
  • 09:45 – 10:30 Ian McKeague: Post-selection inference for high-dimensional mediation analysis with survival outcomes
  • 10:30 – 11:00 Coffee break

  • 11:00 – 11:30 Håvard Hegre: Prediction of armed conflict: What can we say about uncertainty in such models?

  • 11:30 – 12:00 Céline Cunen: Combining predictive distributions for the time-to-frost

  • 12:00 – 13:00 Lunch

  • 13:00 – 13:30 Emil Stoltenberg: Semiparametric inference by way of parametric inference

  • 13:30 – 14:00 Martin Jullum: Why AI needs maths and stats

  • 14:00 – 14:30 Arnoldo Frigessi: Why AI needs Nils

  • 14:30 – 15:00 Postludium

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Published June 9, 2023 10:01 AM - Last modified Nov. 29, 2023 10:25 AM