JSM 2005 - Toronto

Abstract #302540

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.



The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

The Program has labeled the meeting rooms with "letters" preceding the name of the room, designating in which facility the room is located:

Minneapolis Convention Center = “MCC” Hilton Minneapolis Hotel = “H” Hyatt Regency Minneapolis = “HY”

Back to main JSM 2005 Program page
Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 210
Type: Invited
Date/Time: Tuesday, August 9, 2005 : 8:30 AM to 10:20 AM
Sponsor: Biopharmaceutical Section
Abstract - #302540
Title: Joint Optimization of Continuous and Discrete Parameters and an Application to Biological Classification Without Selection Bias
Author(s): James A. Garrett*+
Companies: Becton Dickinson
Address: MS 616, 7 Loveton Circle, Sparks, MD, 21152-0999,
Keywords: Classification ; Optimization ; Selection bias
Abstract:

Examples abound of "mixed" optimization problems, i.e., those with continuous and discrete components. These are solvable by partitioning the continuous and discrete components and letting the optimization criterion for the discrete part be the optimum for the continuous component, conditioned on the settings of the discrete component. This "nested" optimization is easy to apply, but can be inefficient. This paper presents a modification to the Simultaneous Perturbation Stochastic Approximation (SPSA) algorithm that makes this powerful algorithm applicable to many mixed optimization problems. This algorithm is applied to a biological classification/data-mining problem in order to obtain performance estimates free of selection bias.

  • The address information is for the authors that have a + after their name.
  • Authors who are presenting talks have a * after their name.

Back to the full JSM 2005 program

JSM 2005 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2005