Contact Information

Email: jflegal (AT sign) ucr (DOT or PERIOD) edu

Mail: 1428 Olmsted Hall, 900 University Ave, Riverside, CA 92521

Voice: (951) 827-2247

Refereed Publications

Submitted Papers

  • Gong, L., Flegal, J.M., Spindler, S.R. and Mote, P.L. (2015). Bayesian model selection on linear mixed-effects models for comparisons between multiple treatments and a control. arXiv
  • Vats, D., Flegal, J.M. and Jones, G.L. (2015). Multivariate output analysis for Markov chain Monte Carlo. arXiv
  • Park, I. W., Hooper, Flegal, J.M., and Jenerette, G. D. (2016). Moisture availability drives distribution of herbaceous cover throughout chaparral: Insights from a novel remote sensing method mapping chaparral invasion.
  • Hui, J., Aragon, M., Cui, X. and Flegal, J.M. (2017). A machine learning approach to galaxy-LSS classification I: Imprints on halo merger trees.
  • Hui, J., Flegal, J.M. and Johnson, A.A. (2017). Improving jump distances for the Metropolis-Hastings algorithm.
  • Liu, Y. and Flegal, J.M. (2017). Weighted batch means estimators in Markov chain Monte Carlo.

Grants

  • Flegal, J.M. (PI), Collaborative research: Developing a theoretical and methodological framework for high-dimensional Markov chain Monte Carlo, National Science Foundation - Division of Mathematical Sciences, 2013-2016.
  • Flegal, J.M. (PI), A sequential stopping rule for high-dimensional Markov chain Monte Carlo, University of California, Riverside - Regents Faculty Fellowship, 2014-2015.
  • Flegal, J.M. (Other Professional), Fellowships and Internships in Extremely Large Data Sets (FIELDS): A Training and Research Program in Big Data and Visualization, National Aeronautics and Space Administration - MIRO FIELDS, PI B. Mobasher, Physics and Astronomy, 2015-2020.

Software

Teaching

  • NASC 93: Statistics in Popular Culture
  • STAT 155: Probability and Statistics for Science and Engineering
  • STAT 160A: Elements of Probability and Statistical Theory
  • STAT 160B: Elements of Probability and Statistical Theory
  • STAT 160C: Elements of Probability and Statistical Theory
  • STAT 203A: Bayesian Statistics I
  • STAT 206: Statistical Computing
  • STAT 207: Advanced Statistical Computing
  • STAT 210C: Theoretical Statistics and Probability
  • STAT 215: Stochastic Processes
  • STAT 288: Literature Seminar
  • STAT 3011 (University of Minnesota): Introduction to Statistical Analysis