|
Title
|
Room
|
|
An Appreciation of Lucien Le Cam
|
H-Grand Ballroom A
|
|
Date / Time
|
Sponsor
|
Type
|
|
08/06/2001
8:30 AM
-
10:20 AM
|
Memorial Sessions, IMS, Cmte on Meetings
|
Invited
|
|
Organizer:
|
Grace Yang, University of Maryland - College Park
|
|
Chair:
|
Grace Yang, University of Maryland - College Park
|
|
Discussant:
|
|
|
Floor Discussion
|
10:15 AM
|
Description
This session is dedicated to the memory of Lucien Le Cam who passed away on April 25, 2000. The statistical community lost one of its most important mathematical statisticians of our century. His contributions to mathematical statistics, probability theory and applications have profound impact on statistical research. A monumental amount of Le Cam's work is in theoretical statistics to which this session is devoted. Expository talks will be presented by speakers on aspects of Le Cam's work and impact.
Building on the methods and insights of the founders of modern theoretical statistics, Le Cam developed a unifying theory for statistical inference and decision theory based on the concept of a distance between statistical experiments. Encompassed in Le Cam's theory are the concepts of contiguity, asymptotic sufficiency, new methods of constructing estimators (including the one-step estimator), the theory of local asymptotic normality (LAN), metric dimension and numerous other seminal ideas. His deep and mathematically challenging theory, introduced in the late fifties and early sixties, was slow in receiving broad attention until the publication of H{\'a}jek and {\v S}id{\'a}k's book (1968). Now the importance of Le Cam's theory is widely appreciated.
|
|
