Berkeley-Stanford Colloquium: Estimating n parameters based on a sample of size one
Berkeley-Stanford Joint Colloquium at Berkeley
Nov 2, 2010, 04:10 PM - 05:00 PM | 60 Evans Hall | Happening As Scheduled
Persi Diaconis, Stanford University (Speaker)
Models with many parameters are common in modern statistics and one should wonder whether classical procedures (e.g. maximum likelihood) still work acceptably. In some situations the answer is certainly no. However, in other situations the answer is yes. I will illustrate with models from the emerging field of random networks (joint work with Sourav Chatterjee and Allan Sly). There, looking at...