next up previous index
Next: ims.03 Up: Institute of Mathematical Statistics Previous: ims.01



Session Slot: 2:00- 3:50 Monday

Estimated Audience Size:

AudioVisual Request: Two Overheads

Session Title: Neyman Lecture

Theme Session: No

Applied Session: Yes

Session Organizer: Lindsay, Bruce The Pennsylvania State University

Address: 422 Thomas Building, Department of Statistics, University Park, PA16802

Phone: (814)865-1220

Fax: (814) 863-7114


Session Timing: 110 minutes total (Sorry about format):

Opening Remarks by Chair - 5 First Speaker - 90 minutes Floor Discussion - 10 minutes

Session Chair: Markatou, Marianthi Columbia University

Address: Department of Statistics, 615 Mathematics Building, New York, NY 10027

Phone: (212) 854 3969



1. Computing with Data: Concepts and Challenges

Chambers, John,   Bell Labs, Lucent Technologies

Address: Rm. 2C-282 Bell Laboratories Lucent Technologies 700 Mountain Av. Murray Hill, NJ 07974-0636

Phone: 908 582-2681

Fax: 908 582-3340


Abstract: Our use of computing, as statisticians or members of related professions, takes place in a broader context of activities, in which data is acquired, managed, and processed for any of a great variety of purposes. The underlying purposes are diverse: scientific experimentation, business transactions, or managing society itself (the original meaning of statistics). The activities, of which traditional statistical computing is an important but quantitatively small part, form what I call computing with data .

This talk examines how work in statistical software and related areas can contribute to the activities, and in particular, to science. Such a focus is an appropriate topic for the Neyman lecture, since our ability to compute with data is often the limiting factor in applying statistical techniques to science today.

Discussion of what has been done, and is being done now, in statistical software is presented around three basic concepts: language , the ability to express our ideas; objects , the structure we can impose on data; and interfaces , the means of communication within software and between software and its users. To complement the discussion of concepts, we need to look at the challenges to be faced. Here, one challenge subsumes many of the most important ones: the scope of our participation in the larger context. Simply put, we need to greatly enlarge the scope of our activities and of our model for our own rôle in computing with data.

List of speakers who are nonmembers: None

next up previous index
Next: ims.03 Up: Institute of Mathematical Statistics Previous: ims.01
David Scott