This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 294
Type: Topic Contributed
Date/Time: Tuesday, August 3, 2010 : 8:30 AM to 10:20 AM
Sponsor: SSC
Abstract - #307741
Title: Predicting Crop Yield in the Canadian Prairies
Author(s): Luke Bornn*+ and Jim Zidek
Companies: The University of British Columbia and The University of British Columbia
Address: 333-6356 Agricultural Road, Vancouver, BC, V6T 1Z2, Canada
Keywords: crop yield ; non-stationary ; Bayesian ; agriculture ; spatial ; dependence

This paper describes how spatial dependence can be incorporated into statistical models for crop yield along with the dangers of ignoring it. In particular, approaches that ignore this dependence suffer in their ability to capture (and predict) the underlying phenomena. By judiciously selecting biophysically based explanatory variables and using spatially-determined prior probability distributions, a Bayesian model for crop yield is created that not only allows for increased modelling flexibility but also for improved prediction over existing least-squares methods. Prior distributions are developed to accommodate the spatial non-stationarity arising from distinct between-region differences in agricultural policy and practice. In addition, a range of possible dimension-reduction schemes are examined in the pursuit of improved prediction.

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2010 program

2010 JSM Online Program Home

For information, contact or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.