Legend: Palais des congrès de Montréal = CC, Le Westin Montréal = W, Intercontinental Montréal = I
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
Activity Details
|
|
Tweet | ||
| 666 ! | Thu, 8/8/2013, 10:30 AM - 12:20 PM | CC-519b | |
| Innovations in Methods and Models Applied to Spatial Environmental Data Sets from Around the World — Invited Papers | |||
| Section on Statistics and the Environment , Statistical Learning and Data Mining Section , Section on Statistics in Epidemiology , Scientific and Public Affairs Advisory Committee , Statistics Without Borders | |||
| Organizer(s): Daniel A. Griffith, U. of Texas at Dallas | |||
| Chair(s): Murali Haran, The Pennsylvania State U. | |||
| 10:35 AM | Multivariate Spatial Data Fusion for Global Remote Sensing Data Sets — Hai Minh Nguyen, Jet Propulsion Laboratory ; Matthias Katzfuss, Universität Heidelberg ; Noel Cressie, National Institute for Applied Statistics Research Australia ; Amy Braverman, Jet Propulsion Laboratory | ||
| 11:00 AM | Implementing Gaussian Spatial Autoregressive Models for Massive Georeferenced Data Sets: An Example from Peru — Daniel A. Griffith, U. of Texas at Dallas | ||
| 11:25 AM | Scalable Maximum Likelihood Calculations for Gaussian Processes — Mihai Anitescu, Argonne National Laboratory ; Michael L Stein, The University of Chicago ; Jie Chen, Argonne National Laboratory | ||
| 11:50 AM | Time-Structured PCA for Describing Modes of Variability in Large Global Climate Data Sets — Cari Kaufman, UC Berkeley ; Ben Shaby, UC - Berkeley | ||
| 12:15 PM | Floor Discussion | ||
2013 JSM Online Program Home
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.
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.