Featured Speakers

摘要

Traditionally, there has been close relations between statistics and probability theory. This is present in the work of Bernoulli, whose motivations to prove the strong law of large numbers were his thoughts about the consistency of statistical estimators. Also, much later, important developments in probability theory such as the asymptotic distribution of the Kolmogorov-Smirnov statistic or large deviation theory, which has partly been motivated by efficiency considerations in statistics, were triggered by questions in statistics. In the past decades, probability theory saw many important developments that have seemingly no relation with statistics, such as Schramm Loewner equations, spin glasses, and random media. As a consequence, there is no longer an equally intensive communication between the two communities. Based on a number of examples, I will argue that this is not ideal for either side. Being a probabilist and talking at a statistics meeting, the viewpoint will, of course, be biased.