Statistical Methods for Combining Measurements and Models, with Application to Mapping Particulate Matter

February 11, 2011 - 12:00pm
Seminar Host/Point of Contact: 

Modern statistical methods, in particular Bayesian hierarchical models, provide a framework for combining various types of measurements in a single analysis. I'll describe a basic latent variable framework for dealing with spatial and spatio-temporal data. The approach is to represent the spatial and spatio-temporal field of interest as a latent field and relate observations to that field. An observation may represent a single point in space and time or an average over space and time. Then I'll describe how to use the approach to combine measurements with proxies such as computer code (model) output and remote sensing output. A critical aspect in many applications is accounting for systematic discrepancy between the proxy and the latent, unknown true field. I'll present a case study of modeling ambient particulate matter in the eastern U.S. Finally, I'll briefly discuss other methods in the statistical literature for combining measurements and model output and accounting for discrepancy.

Add event to Google Calendar

Announcement List

To be added to our seminar annoucement list please, email ETA Seminars. Seminars may change without notice, stay informed by joining our seminar email list. 

Site Access

For site access please email your request to ETA Seminars. To arrive at Building 90 via the LBNL shuttle, take "Blue Uphill". Click here for the shuttle schedule. To ensure your site access is set-up send your request 36 hours in advance of the seminar.

Remote Access

Not able to attend in person? Remote participants can use ReadyTalk Audio & Net conference to phone in to listen, while viewing the presentation via the ReadyTalk site.

Web Access Code: 4864835

USA & Canada call-in number:
1 (866) 740-1260
Access Code: 4864835#

International callers:
Please visit this website to see if a toll-free call-in number is available for your international location.

If not, you will need to pay for the call yourself and use this phone number:

(303) 248-0285.