Abstract Details
|
Activity Number:
|
142
|
|
Type:
|
Invited
|
|
Date/Time:
|
Monday, August 4, 2014 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
IMS
|
|
Abstract #310600
|
|
|
Title:
|
What Do We Know About Linear Structural Equation Models?
|
|
Author(s):
|
Mathias Drton*+
|
|
Companies:
|
University of Washington
|
|
Keywords:
|
Graphical model ;
parameter identification ;
structural equation model
|
|
Abstract:
|
In linear structural equation models, random variables of interest are related to each other via a linear equation system that features possibly dependent noise terms. These models admit a natural causal interpretation and have a long tradition in multivariate statistics. They are also connected to the field of graphical modeling via a useful representation in terms of mixed graphs, also known as path diagrams. This talk will review some of the mathematical problems that arise in structural equation modeling, with a particular focus on problems of parameter identification in a Gaussian context. The emphasis will be on graphical techniques for solving these problems.
|
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.