von Mises lecture im Berlin
In about a month I will give a talk in Berlin on ABC. This is actually a special lecture held annually in honour of Richard von Mises who was professor in Berlin till 1933 when he had to flee Germany. Previous speakers include James A. Sethian, Albert Shiryaev, Uwe Küchler, Enrique Zuazua, and Philip Protter who gave the first von Mises lecture in 2007. I am thus quite honoured to be invited to deliver this lecture as a statistician, even though I fear my lecture and my research are fairly disjoint from Richard von Mises’ contributions to the field… (The closest I came to his work was when reviewing Krzysztof Burdzy’s The Search for Certainty own criticism of von Mises’ [and de Finetti’s] approaches to the definition of probability, only to discover von Mises had not made a lasting impact on the field of statistics in this very specific respect… However, Professor Shirayev’s talk relates to von Mises’s infinite random sequences in connection with both the formalisation of probability and algorithmic theory.)
August 3, 2011 at 12:07 pm
[…] Bayes approaches had more justifications than the objective Bayes approach, in the light of von Mises‘ and personalistic (read, de Finetti) interpretations of […]
July 1, 2011 at 7:11 am
[…] are the slides I prepared for my von Mises lecture today, managing to include some quotes from von Mises in the initial […]
June 29, 2011 at 11:11 am
[…] my visit to Berlin tomorrow, I am staying in the Circus Hotel, which happens to have a true blog…! Amazing! […]
June 22, 2011 at 12:17 am
[…] An interesting trivia is that Delahaye starts with a reference to (and a one page extract from) von Mises‘ Kollectiv, a notion much debated in A search for certainty! For Martin-Löf, a real number […]
June 8, 2011 at 12:16 am
[…] to both their family trees.) This sounds at first amazing, but it is another occurrence of the (von Mises) birthday problem. (The fact that it is not that amazing is demonstrated by the simultaneous […]
June 5, 2011 at 4:07 pm
If they ever invite me, I know what I can talk about! (See page 3 of this article.)