Abstract Details
Activity Number:
|
335
|
Type:
|
Invited
|
Date/Time:
|
Tuesday, August 11, 2015 : 10:30 AM to 12:20 PM
|
Sponsor:
|
Section on Physical and Engineering Sciences
|
Abstract #314544
|
View Presentation
|
Title:
|
Gaussian Process Modeling of Irregularly Observed Periodic Functions with Applications to Period Luminosity Relations in Astronomy
|
Author(s):
|
Shiyuan He and Wenlong Yuan and James Patrick Long* and Lucas Macri and Jianhua Huang
|
Companies:
|
Texas A&M University and Texas A&M University and Texas A&M University and Texas A&M University and Texas A&M University
|
Keywords:
|
astronomy ;
period estimation ;
functional data ;
gaussian processes ;
|
Abstract:
|
We use Gaussian Processes (GP) to model sparsely observed periodic functions. The problem arises from astronomy where each function represents a star's brightness. The GP model improves period estimation accuracy over existing algorithms used in astronomy. Using the periods determined by the GP model, we estimate period--luminosity relations for long period variable stars as a means of obtaining a distance estimate to the galaxy M33.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2015 program
|
For program information, contact the JSM Registration Department or phone (888) 231-3473.
For Professional Development information, 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.
2015 JSM Online Program Home
ASA Meetings Department
732 North Washington Street, Alexandria, VA 22314
(703) 684-1221 • meetings@amstat.org
Copyright © American Statistical Association.