JSM 2004 - Toronto

Abstract #301384

This is the preliminary program for the 2004 Joint Statistical Meetings in Toronto, Canada. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2004); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

Back to main JSM 2004 Program page
Activity Number: 217
Type: Topic Contributed
Date/Time: Tuesday, August 10, 2004 : 10:30 AM to 12:20 PM
Sponsor: Section on Bayesian Statistical Science
Abstract - #301384
Title: Prediction of Riverine Sediment Categories from a Multinomial Reverse Dirichlet Spatial Mixture Model
Author(s): Kyoji Furukawa*+ and Mark Kaiser
Companies: Iowa State University and Iowa State University
Address: 315 A Snedecor Hall, Ames, IA, 50011,
Keywords: spatial mixture model ; Bayes prediction ; riverine sediment
Abstract:

The characteristics of sediment structure in the river bed are known to be important predictors for many biotic responses that are indicators of the overall productivity of an aquatic ecosystem. A statistical model that allows prediction of sediment types is expected to enhance our ability to understand and model the levels of such responses. For this purpose, we develop a spatial mixture model that consists of a conditionally independent multinomial obseration process mixed over a conditionally specified spatial process that possesses Dirichlet-like behavior. The sediment type at an unobserved location is predicted by a Bayes predictor under the squared error loss and the predictive ability of the proposed model is assessed by cross-validation.

  • 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 2004 program

JSM 2004 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.
Revised March 2004