Norris

Dr. James Norris
Professor of Mathematics

Office: Manchester 337
Phone: (336) 758-4888
Email: norris ‘at’ wfu.edu

 

 

Degrees:

PhD Florida State University (1990) – Statistics
MA North Carolina State University (1982) – Statistics
MS North Carolina State University (1980) – Forestry
BS North Carolina State University (1975)

Research Interests: Statistical Methodology, Ecological Statistics

Papers:

  1. A Robust Bayesian Lower Limit for the Expected Number of Unobserved Classes. Communications in Statistics – Theory and Methods (1993) 22 (1) 81-95, with D. A. Meeter
  2. A Nonparametric Estimator of the Number of Classes Based on a Stratified Random Sample. Communications in Statistics – Theory and Methods (1994) 23 (9) 2561-2580, with D. A. Meeter.
  3. A Capture-Recapture Model with Heterogeneity and Behavioural Response. Environmental and Ecological Statistics (1995) 2 305-313, with K. H. Pollock.
  4. Sample Design for Observing Classes of Objects. Communications in Statistics – Theory and Methods (1995) 24 (12) 3147-3162.
  5. Effects of Baseline Responses, In-Task Feelings, and Duration of Activity on Exercise-Induced Feeling States. Health Psychology (1995) 14 (4) 350-359, with W. J. Rejeski, L. Gauvin, and M. L. Hobson.
  6. Nonparametric MLE under two closed capture-recapture models with heterogeneity. Biometrics (1996) 52 639-649, with K. H. Pollock.
  7. Including Model Uncertainty in estimating variances in multiple capture studies. Environmental and Ecological Statistics (1996) 3 235-244, with K. H. Pollock
  8. A Naturalistic Study of the Impact of acute physical activity on feeling states and affect in women. Health Psychology (1996) 15 (5) 391-397, with L. Gauvin, and W. J. Rejeski.
  9. The curse of inactivity: failure of acute exercise to enhance feeling states in a community sample of sedentary adults. Journal of Health Psychology (1997) 2 (4) 509-523, with L. Gauvin, W. J. Rejeski, and L. Lutes.
  10. Nonparametric MLE for Poisson species abundance models allowing for heterogeneity between species. Environmental and Ecological Statistics (1998) 5 (4) 391-402, with K. H. Pollock.
  11. Self-Marking recapture models for estimating closed insect populations. Journal of Agricultural, Biological, and Environmental Statistics (2000) 5 (4) 456-474, with E. P. Wileyto, D. K. Weaver, and R. T. Arbogast
  12. Nonparametric MLE incorporation of heterogeneity into premarked cohort studies. Environmental and Ecological Statistics (2001) 8 21-32, with K. H. Pollock.
  13. Applicability of Poisson species abundance models. American Statistical Association 2001 Conference Proceedings, with K. H. Pollock.
  14. Open capture-recapture models with heterogeneity: I. Cormack-Jolly-Seber model. Biometrics (2003) 59 786-794, with S. Pledger and K. H. Pollock.
  15. Older adults in cardiac rehabilitation: A new strategy for enhancing physical function. Medicine and Science in Sports and Exercise (2002) 34 1705-1713, with W. J. Rejeski, C. G. Foy, L. R. Brawley, P. H. Brubaker, B. C. Focht, and M. L. Smith.
  16. Visual localization ability influences cross-modeal bias. Journal of Cognitive Neuroscience (2003) 15 (1) 20-29, with W. D. Hairston, M. T. Wallace, J. W. Vaughan, B. E. Stein, and J. A. Schirillo.
  17. Bayesian capture-recapture analysis allowing for heterogeneity between animals. Journal of Biological, Agricultural and Environmental Statistics (2005) 10 (1) 35-49 with S. Ghosh.
  18. Survey of School Psychologists’ Attitudes, Feelings, and Exposure to Gay and Lesbian Parents and Their Children. Journal of Applied School Psychology (2005), 22 (1) 87-107, with H. S. Choi, C. A. Thul, K. S. Berenhaut, and C. K. Suerken
  19. Bayesian capture-recapture analysis allowing for heterogeneity between animals. Journal of Biological, Agricultural and Environmental Statistics (2005) 10 (1) 35-49 with S. Ghosh.
  20. Metropolis-Hastings algorithm and continuous regression for finding next-state models of protein modification using information scores. IEEE 7th International Symposium on Bioinformatics and Bioengineering (2007) Refereed Conference Proceedings, 1 35-41, with D. J. John and J. S. Fetrow.
  21. Examining Effects of Variability on Systems Biology Modeling Algorithms. ACM/BCB (2010) Refereed Conference Proceedings, 374-377, with D. J. John, R. A. Black, and J. S. Fetrow.
  22. Comparison of co‑temporal modeling algorithms on sparse experimental time series data sets. IEEE International Conference on Bioinformatics and Bioengineering (2010) Refereed Conference Proceedings, 79-85, with E. E. Allen, D. J. John, J. W. H. Turkett, J. S. Fetrow, and S. J. Thomas.
  23. Open capture-recapture models with heterogeneity: II. Jolly-Seber model. Biometrics (2010) 66 883-890, with S. Pledger and K. H. Pollock.
  24. Continuous cotemporal probabilistic modeling of systems biology networks from sparse data. IEEE/ACM Transactions on computational biology and bioinformatics journal. (2011) 8 (2) 1208-1222, with D. John and J. Fetrow.
  25. Probabilistic signal network models from multiple replicates of sparse time-course data. IEEE International Conference on Bioinformatics and Bioengineering (2011) Refereed Conference Proceedings, 450-455, with D. J. John and K. L. Patton.
  26. Power of food moderates, food craving, perceived control, and brain networks following a short-term post-absorptive state in older adults. Appetite, 48 (3) June (2012) with W. J. Rejeski, J. Burdette, M. Burns, A. R. Morgan, S. Hayasaka, D. Williamson, P. J. Laurienti .
  27. Bayesian probabilistic network modeling of multiple replicates. BMC Bioinformatics (2012) 13 (Supplement 9) 1-13, with D. J. John and K. L. Patton.
  28. Influence of weight loss, body composition, and lifestyle behaviors on plasma adipokines. Journal of Obesity (2012) Article ID /08505, with G. Miller, G. Muday.

Classes: Introductory Probability and Statistics, Statistical Methods, Mathematical Statistics I and II, Stochastic Processes, Multivariate Analysis

Personal Interests:  Animals, Walking/hiking/biking, Various sports