UCR

Statistics



S. James Press


S. James Press

S. James Press

Emeriti Professor

Address:
Office: 1348 Olmsted Hall
Mail: 1337 Olmsted Hall
University of California, Riverside
Riverside, CA 92521

Telephone: 951-827-4241
Email: jpress@ucr.edu
Fax: 951-827-3286

Education:

PhD in Statistics, Stanford University, Palo Alto, California (1964)
M.S. in Mathematics, University of Southern California, Los Angeles, California (1955)
B.A. in Physics, New York University, New York, New York (1950)

Honors and Awards:

  • Research Fellow , U.S. Census Bureau (1997-1998)

Research Interests and Recent Related Publications:

STATISTICAL ANALYSIS OF MICROARRAYS

  • "Classification of Oligonucleotide Fingerprints: Application for Microbial Community and Gene Expression Analyses", by Katechan Jampachaisri, Lea Valinsky, James Borneman, and S. James Press, Departments of Statistics and Plant Pathology, University of California, Riverside, 92521 USA, Journal of Bioinformatics, 2005.
  • "Oligonucleotide Fingerprinting of Ribosomal RNA Genes (OFRG)", by Lea Valinsky, Alexandra J. Scupham, Gianluca Della Vedova, Zheng Liu, Andres Figueroa, Katechan Jampachaisri, S. James Press, Tao Jiang, and James Borneman, Departments of Plant Pathology, Computer Science, and Statistics, University of California, Riverside, CA 92521 USA, Dipartimento di Statistica4, Università degli Studi di Milano-Bicocca, via Bicocca degli Arcimboldi, 8, I-20126, Milano, Italy.

DATA MINING

  • Press, S. James (2003). "The Role of Bayesian and Frequentist Multivariate Modeling In Statistical Data Mining" , Statistical Data Mining, and Knowledge Discovery, Hamparsum Bozdogan (Editor), Boca Raton, Florida: CRC Press.

BAYESIAN STATISTICS:

  • Press, S. James (1989). Bayesian Statistics: Principles, Models, and Applications. John Wiley and Sons, Inc., New York.
  • Press, S. James and Judith M. Tanur (2001). The Subjectivity of Scientists and the Bayesian Approach. John Wiley and Sons, Inc., New York.
  • Press, S. James (2003). Subjective and Objective Bayesian Statistics: Principles, Models, and Applications, Second edition , revised and expanded, New York: John Wiley and Sons, Inc.
  • Press, S. James (2006). "Reducing Subjectivity in the Likelihood", Journal of Data Science, Vol. 4, No. 2.

MULTIVARIATE ANALYSIS

  • Press, S. James (1982). Applied Multivariate Analysis: Using Bayesian and Frequentist Methods of Inference. Krieger Publishing Co., Malabar, FL, 2nd edition. New printing by Dover Publications to appear about July, 2005.

IMAGE CLASSIFICATION AND RECONSTRUCTION

Dr. Press has a broadly-based research program focused on classification and reconstruction with remotely sensed satellite data. The satellite data is collected for environmental monitoring purposes as well as for other applications such as agricultural, biological, climatological, engineering, or geological. The project involves developing multivariate Bayesian statistical methods for reconstructing scenes on the ground based upon noisy signals received by sensors in the satellite.

  • Klein, Ruben, and Press, S. James (August 1987). "Spatial Structure in Bayesian Classification", Technical Report No.157, Department of Statistics, University of California, Riverside.
  • Klein, Ruben, and Press, S. James (1988). "Bayesian Contextual Classification of Remotely Sensed Data: An Iterative Procedure", Proceedings of the Annual Meeting of the American Statistical Association in New Orleans, August 1988. Business and Economic Statistics Section.
  • Klein, Ruben, and Press, S. James (1989). "Contextual Bayesian Classification of Remotely Sensed Data", Communication in Statistics, Theory and Methods, 18(9):3177-3202, 1989.
  • Klein, Ruben, and Press, S. James (1989). "Bayesian Contextual Classification with Neighbors Correlated with TrainingData", in Bayesian and Likelihood Methods In Statistics and Econometrics: Essays in Honor of George A. Barnard, edited by S. Geisser, J. Hodges, S.J. Press and A. Zellner, New York: North Holland Publishing Co., pp. 337-355.
  • Klein, Ruben, and Press, S. James (1990). "Bayesian Contextual Classification with Neighbors Correlated with Training Data", in Bayesian and Likelihood Methods in Statistics and Econometrics,edited by S. Geisser, J.S. Hodges, S.J. Press and A. Zellner, 1990. New York: Elsevier Science Publications (North Holland).
  • Klein, Ruben and Press, S. James (1991). "Bayesian Classification for Data with Spatial Structure: A Brief Review", 17° Coloquio Brasileiro de Matematica, July 17-21, 1989. IMPA, Rio de Janeiro.
  • Klein, Ruben, and Press, S. James (1993). "Adaptive Bayesian Classification with a Locally Proportional Prior", with R. Klein, Communications in Statistics - Theory and Methods, 22(10):2925-2940.
  • Klein, Ruben, and Press, S. James (1992). "Iterative Bayesian Contextual Classification of Remotely Sensed Data" , Spatial Statistics and Imaging: Proceedings of an AMS-IMS-SIAM Joint Summer Research Conference, June 18-24, 1988, Bowdoin College, ME, edited by A. Possolo, Hayward, CA: Institute of Mathematical Statistics, pp. 176-185, 1992.
  • Klein, Ruben, and S. James Press (1992). "Adaptive Bayesian Classification of Spatial Data", with R. Klein, Journal of American Statistical Association, Vol. 87, No. 419:844-851, 1992.
  • Klein, Ruben, and Press, S. James Press (1992). "Simulation Comparison of Methods for Bayesian Contextual Classification of Remotely Sensed Data", In Bayesian Inference in Statistics and Econometrics: Proceedings of the Indo-U.S. Workshop, 1988. New York: Springer-Verlag, Prem Goel (ed.), pp. 163-175.
  • Klein, Ruben, and Press, S. James (1995). "Comparison of Image Reconstruction Algorithms", with T. Ferryman, in 1994 Proceedings of the Section on Bayesian Statistical Science of the American Statistical Association, pp. 159-164.
  • Dagne, G and Press, S. James (May, 1995). "Robustness of DNA Image Restoration with Respect to Spatial Correction", Technical Report No. 218, Department of Statistics, University of California, Riverside, May 1995.
  • Klein, Ruben, and Press, S. James (1995). "Bayesian Classification for Data with Spatial Structure: A Brief Review" , in 17th Brazilian Colloquium of Mathematics (in English), Instituto de Matematica Pura e Aplicada, Rio de Janeiro, Brazil, pp. 111- 121, 1991.
  • Klein, Ruben, and Press, S. James (1996). "The Directional Neighborhoods Approach to Contextual Reconstruction of Images from Noisy Data", Journal of American Statistical Association, Vol. 91, No.435, 1091-1100.
  • Dagne, G. and Press, S. James (1996). "Bayesian Prediction for Small Areas Using SUR Models", Communications in Statistics, Vol. 26(6), 1355-1379.
  • Ferryman, Thomas, and Press, S. James (June, 1996). "A Comparison of Nine Pixel Classification Algorithms", Technical Report No. 232, Department of Statistics, University of California, Riverside.

COGNITIVE MODELING IN SAMPLE SURVEYS

Dr. Press has developed a new way to ask questions in sample surveys involving recall of factual items. It is called "Respondent-Generated Intervals".

  1. Press, S. James (1996). "Bayesian Recall: A Cognitive Bayesian Modeling Approach to Surveying A Recalled Quantity". Technical Report No. 236, Department of Statistics, University of California, Riverside, Aug.1996.

  2. Press, S. James (1997). "Bayesian Recall: A Cognitive Bayesian Modeling Approach to Surveying A Recalled Quantity". Technical Report No. 239, Jan. 1997, Department of Statistics, University of California, Riverside, Revision of Tech. Rept. #236.

  3. Press, S. James and Tanur, Judith M., (1997). "Design of Two Empirical Tests of a Bayesian Recall Model", presented at the Annual Conference of the American Association for Public Opinion Research, May, 1997, and published in the 1997 Proceedings of the Section on Survey and Research Methods, Proceedings of the Annual Meetings of the American Statistical Association, pp. 1-10.

  4. Press, S. James and Tanur, Judith M.(1998). "Experimenting with Bayesian Recall." Paper presented at the Annual Conference of the American Association for Public Opinion Research, May, 1998.

  5. Press, S. James and Tanur, Judith M (1999). "Respondent-Generated Interval Estimation to Reduce Item- Nonresponse", Paper presented at the Annual Conference of the American Association for Public Opinion Research, May 1999, and at the meeting of International Statistical Institute, Helsinki, Finland, August 1999; Bulletin of the International Statistical Institute, Book 3, pp. 151-152; and 1999 Proceedings of the Section on Survey Research Methods, Annual Meetings of the American Statistical Association, pp. 895-900

  6. Marquis, Kent H., and Press, S. James (1999). "Cognitive Design and Bayesian Modeling of a Census Survey of Income Recall", in Federal Committee on Statistical Methodology Research Conference, Wash. DC, pp. 51-64, (refereed), http://www.fcsm.gov/papers/index.html, Nov. 16, 1999.

  7. Press, S. James and Judith M. Tanur (2000). "Experimenting with Respondent-generated Intervals in Sample Surveys", with discussions, in Survey Research at the Intersection of Statistics and Cognitive Psychology, Working Paper Series #28, Monroe G. Sirken, Editor, National Center for Health Statistics, Center for Disease Control and Prevention, pp. 1-18.

  8. Miller, Diane, Pettiti, Diana, Press, S. James, and Tanur, Judith M (2000). "A Controlled Experiment for Testing Respondent-Generated Intervals Methodology", Paper presented at the Annual Conference of the American Association for Public Opinion Research, May 2000, Proceedings of the Section on Survey Research Methods, Annual Meetings of the American Statistical Association, pp. 1028-1032.

  9. Press, S. James and Judith M. Tanur (2001). "Can Respondent-Generated Intervals Estimation Reduce Item Non-Response? ", Applied Statistical Science V, Pages 39-49 in M. Ahsanullah, J. Kenyon, and S.K. Sarkar (Eds.), Huntington, NY: Nova Science Publishers, Inc.

  10. Press, S. James, and Marquis, Kent H. (2002). "Bayesian Estimation in a U.S. Government Survey of Income Recall using Respondent-Generated Intervals", Proceedings of Conference of the International Society of Bayesian Analysis , Crete, Eurostat.

  11. Press, S.James and Kent H. Marquis (2002). "Bayesian Estimation in a U.S. Census Bureau Survey of Income Recall Using Respondent-Generated Intervals", Research in Official Statistics, Eurostat.

  12. Press, S. James, and Tanur, Judith M. (2003). "The Respondent-Generated Intervals Approach to Sample Surveys: From Theory to Experiment", in New Developments on Psychometrics , Edited by Yanai, Haruo; Okada, Akinori; Shigemasu, Kazuo; Kano, Yutaka; Meulman, Jacqueline J., Tokyo: Springer-Verlag

  13. Press, S. James, and Tanur, Judith M. (2003). "Decision Making of Survey Respondents", Proceedings of the Annual Meetings of the American Statistical Association, Survey Research Methods Section, 2002.

  14. Miller, Diane, and Press, S. James (2003). "Respondent-Generated Intervals In An HMO Survey: Preliminary Results", Proceedings of the Survey Research Methods Section of the 2002 Annual Meetings of the American Statistical Association.

  15. Press, S. James and Tanur, Judith M. (2003). "The Relationship between Accuracy and Interval Length in the Respondent-Generated Interval Protocol." Paper presented at the Annual Conference of the American Association for Public Opinion Research, Nashville, TN, May 2003 and Proceedings of the Survey Research Methods Section of the American Statistical Association.

  16. Press, S. James and Tanur, Judith M. (2004). "Relating Respondent-Generated Intervals Questionnaire Design to Survey Accuracy and Response Rate", Journal of Official Statistics, Statistics Sweden, June, 2004, Vol. 20, No. 2, pp. 265-287. Special Issue on Questionnaire Development, Evaluation, and Testing Methods.

  17. Press, S. James, and Tanur, Judith M. (2005). "Respondent-Generated Intervals (RGI) ", in Polling America: An Encyclopedia of Public Opinion.

  18. Chu, LiPing, Press, S. James, and Tanur, Judith M. (2004), "Confidence Elicitation and Anchoring in the Respondent-Generated Intervals Protocol", Journal of Modern Applied Statistical Methods, Nov. 2004, Vol. 3, No. 2, pp. 417-431.

  19. Press, S. James (2004). "Respondent-Generated Intervals for Recall in Sample Surveys", Journal of Modern Applied Statistical Methods, Vol. 3, No. 1, pp.104-116.

  20. Press, S. James and Tanur, Judith M. (2004). "An Overview of the Respondent-Generated Intervals (RGI) Approach to Sample Surveys", Journal of Modern Applied Statistical Methods, Nov. 2004, Vol. 3, No. 2, pp. 288-304.

 


More Information

General Campus Information

University of California, Riverside
900 University Ave.
Riverside, CA 92521
Tel: (951) 827-1012

Career OpportunitiesUCR Libraries
Campus StatusDirections to UCR

Department Information

Department of Statistics

Tel: (951) 827-3774
Fax: (951) 827-3286

Footer