Abstract Details
|
Activity Number:
|
151
|
|
Type:
|
Invited
|
|
Date/Time:
|
Monday, August 4, 2014 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
JASA, Theory and Methods
|
|
Abstract #310585
|
View Presentation
|
|
Title:
|
Estimation and Accuracy After Model Selection
|
|
Author(s):
|
Bradley Efron*+
|
|
Companies:
|
Stanford University
|
|
Keywords:
|
bootstrap smoothing ;
bagging ;
abc method
|
|
Abstract:
|
In a typical statistical analysis, a first look at the data suggests a reasonable model (eg "cubic regression"), after which estimates and standard errors are calculated ignoring model selection. I will discuss bootstrap methods that take model selection into account. Here the bootstrap is used as a smoothing device, as in "bagging", in addition to its role as an accuracy estimator.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2014 program
|
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development program, please contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.