{"id":276,"date":"2020-02-07T08:43:08","date_gmt":"2020-02-07T07:43:08","guid":{"rendered":"https:\/\/site.uit.no\/nordstat2020\/?page_id=276"},"modified":"2021-02-02T19:08:28","modified_gmt":"2021-02-02T18:08:28","slug":"keynotes-and-sjs-lecture","status":"publish","type":"page","link":"https:\/\/site.uit.no\/nordstat2021\/keynotes-and-sjs-lecture\/","title":{"rendered":"Keynotes and SJS-lecture"},"content":{"rendered":"

 <\/p>\n\n\n\n\n\t\n\t\n\t\n\t\n\t\n\t
Tilmann Gneiting<\/td>Isotonic Distributional Regression (IDR): Leveraging Monotonicity, Uniquely So!<\/a><\/td>\n<\/tr>\n
Marta Blangiardo<\/td>A Bayesian spatio-temporal model for integrating multiple sources of covid burden<\/a><\/td>\n<\/tr>\n
Anders Nielsen<\/td>Non-standard model building and model validation examplified by fish stock assessment<\/a><\/td>\n<\/tr>\n
Ingrid van Keilegom<\/td>On a Semiparametric Estimation Method for AFT Mixture Cure Models<\/a><\/td>\n<\/tr>\n
Yee Wye Teh (SJS)<\/td>On the relationship between Adaptive Monte Carlo and Online Learning<\/a><\/td>\n<\/tr>\n
<\/td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

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