Dr. James Norris

Professor of Mathematics

Dr. Norris’s

  • Office: Manchester 337
  • Phone: (336) 758-4888
  • Email: norris 'at' wfu.edu
  • 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)
Statistical Methodology, Ecological Statistics
  1. Arabidopsis thaliana computationally generated next state gene interaction models.  International Congress in Systems Engineering, Lema Peru, Oct 2018. En Hacia la transformación digital. Actas del I Congreso Internacional de Ingeniería de Sistemas (CIIS) (pp. 17-26). Lima, 13 y 14 de septiembre del 2018. Universidad de Lima, Fondo Editorial.  In Proceedings of the CIIS published 2019. with D. J. John, B. LaPointe, A. Harkey, J. Muhlemann, and G. Muday.

  2. A BCHC genetic algorithm of cotemporal hierarchical Arabidopsis thaliana gene interactions.  International Conference on Bioinformatics and Biomedicine, Madrid Spain, Dec 2018, published in IEEE Xplore Jan 2019, with B. LaPointe, D. J. John, E. A. Allen, A. Harkey, J. Muhlemann, G. Muday.

  3. Time series Adjustment Enhancement of Hierarchical Modeling of Arabidopsis thaliana Gene Interactions, for 7th International Conference on Algorithms for Computational Biology, September 2020, with Edward E. Allen, John Farrell, Alexandria F. Harkey, David J. John, Gloria Muday, and Bo Wu
  4. 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
  5. 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.
  6. A Capture-Recapture Model with Heterogeneity and Behavioural Response. Environmental and Ecological Statistics (1995) 2 305-313, with K. H. Pollock.
  7. Sample Design for Observing Classes of Objects. Communications in Statistics – Theory and Methods (1995) 24 (12) 3147-3162.
  8. 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.
  9. Nonparametric MLE under two closed capture-recapture models with heterogeneity. Biometrics (1996) 52 639-649, with K. H. Pollock.
  10. Including Model Uncertainty in estimating variances in multiple capture studies. Environmental and Ecological Statistics (1996) 3 235-244, with K. H. Pollock
  11. 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.
  12. 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.
  13. 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.
  14. 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
  15. Nonparametric MLE incorporation of heterogeneity into premarked cohort studies. Environmental and Ecological Statistics (2001) 8 21-32, with K. H. Pollock.
  16. Applicability of Poisson species abundance models. American Statistical Association 2001 Conference Proceedings, with K. H. Pollock.
  17. Open capture-recapture models with heterogeneity: I. Cormack-Jolly-Seber model. Biometrics (2003) 59 786-794,  with S. Pledger and K. H. Pollock.
  18. 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.
  19. 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.
  20. Bayesian capture-recapture analysis allowing for heterogeneity between animals. Journal of Biological, Agricultural and Environmental Statistics (2005) 10 (1) 35-49 with S. Ghosh.
  21. 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
  22. Bayesian capture-recapture analysis allowing for heterogeneity between animals. Journal of Biological, Agricultural and Environmental Statistics (2005) 10 (1) 35-49 with S. Ghosh.
  23. 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.
  24. 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.
  25. 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.
  26. Open capture-recapture models with heterogeneity: II. Jolly-Seber model. Biometrics (2010) 66 883-890,  with S. Pledger and K. H. Pollock.
  27. 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.
  28. 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.
  29. 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 .
  30. Bayesian probabilistic network modeling from multiple independent replicates. BMC Bioinformatics (2012) 13 (Supplement 9) 1-13, with D. J. John and K. L. Patton.
  31. Influence of weight loss, body composition, and lifestyle behaviors on plasma adipokines. Journal of Obesity (2012) Article ID /08505, with G. Miller, G. Muday.
  32. Drive for consumption, craving, and connectivity in the visual cortex during the imagery of desired food. Frontiers in aging neuroscience (2013) 5 (Article 77) 1-7, with J. Bullins, P. J. Lauriente, A. R. Morgan, B. M. Paolini, and W. J. Rejeski.
  33. Meal replacement: calming the hot-state brain network of appetite. Frontiers in Psychology (2014) doi: 10.3389/fpsyg.2014.00249 1-13, with B. M. Paolini, P. J. Laurienti, and W. J. Rejeski.
  34. Hierarchical probabilistic interaction modeling for multiple gene expression replicates IEEE/ACM Transactions on computational biology and bioinformatics (2014) 11 (2) 336-346, with K. L. Patton, D. J. John, D. R. Lewis, and G. K. Muday.
  35. First and Second Order Markov Posterior Probabilities on Multiple Time Course Data Sets. IEEE Southeast Conference 2015 Refereed, with K. Patton, S. Huang, D. John, G. Muday.
  36. Beet Root Juice: An ergogenic aid for exercise and the aging brain. The Journals of Gerontology series a (2017) Volume 72, Issue 9, Sept 2017, 1284-1289. https://doi.org/10.1093/gerona/glw219, with M. Petrie, W. J. Rejeski, S. Basu, P. J. Laurienti, A. P. Marsh, D. B. Kim-Shapiro, J. H. Burdette.
  37. Effects of supervised exercise and dietary nitrates in older adults with controlled hypertension and/or heart failure. Submitted to Nitric Oxide.  First authors are Hassom Shaltout and Joel Eggebeen.
Grants and Awards:
  1. WFU Summer Research Grant for 1990 and 1993.
  2. Mary Reynolds Babcock Ethics Grant. Grant to coordinate seminars on the interface between ethics and statistics. 1994.
  3. Assisted with GAPS Program (Graphing, analysis, probability, statistics) which was funded by a grant from the Eisenhower Mathematics and Science Program for Higher Education. Leah P. McCoy was Project Director. 1995.
  4. ACE (incorporation of service into learning) Fellow grant. Fall, 1998.
  5. Health Exercise Grant. W. J. Rejeski (HES WFU) was Project Director. FY 2000-2001.
  6. Health Exercise Grant. W. J. Rejeski was Project Director. FY 2001-2002.
  7. NIH grant: ReDox Signaling Resource Development Program. L. D. Daniel (Biochemistry – WFU Medical) was Principal Investigator. Summer 2009.
  8. Outstanding classroom performance. Wake Forest University Student Government award. 2009.
  9. NIH grant: Role of reactive oxygen species (ROS) in cell signaling.   D. Daniel (Biochemistry – WFU Medical) was Principal Investigator. Summer 2010.
  10. Ranlet and Frank Bell, Jr. WFU Faculty Fellowship 2011-2013.
  11. WFU Molecular Signaling Grant: Developing and analyzing a unified model of protein interactions based on replicate data sets with independent prior and common prior distributions. Co-investigator with D. J. John (CS WFU) 2011-2012.
  12. Translational Sciences Center Grant: Statistical collaborator for controlled study on brain and physical effects of beetjuice for older adults.  Paul Laurienti WFU medical school is principal investigator.
  13. Ethylene signaling and transcriptional networks that control root development: National Science Foundation (NSF) grant.  Gloria Muday is principal investigator.  I am a co-investigator, along with David John and William Turkett.  2017-2020. $899, 999.
Introductory Probability and Statistics, Statistical Methods, Mathematical Statistics I and II, Stochastic Processes, Multivariate Analysis
Animals, Walking/hiking/biking, Various sports



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