Joseph Stover, Ph.D

Assistant Professor of Mathematics

Dr. Stover is an applied mathematician with research interests in probability theory, stochastic processes, and statistics with applications in theoretical ecology and population modeling. He is an avid reader of a variety of topics, especially in philosophy,...

Dr. Joseph Stover

Contact Information

Education & Curriculum Vitae

Ph.D., Applied Mathematics, University of Arizona

B.S., Mathematics, University of Texas

Courses Taught

MATH 258: Calculus-Analytic Geometry II

MATH 321: Statistics for Experimentalists


Dr. Stover is an applied mathematician with research interests in probability theory, stochastic processes, and statistics with applications in theoretical ecology and population modeling. He is an avid reader of a variety of topics, especially in philosophy, religion, and the metaphysical foundations of mathematics and science, and in human history and language. He also enjoys outdoor activities, especially hiking and both sport and traditional rock climbing.

Kendall, B.E., Fox, G.A. & Stover, J.P. (2017), Behavioral syndromes can reduce population density: boldness-aggression tradeoffs and demographic heterogeneity, Behavioral Ecology, 29(1):31{41, DOI:10.1093/beheco/arx068

Stover, J.P., Kendall, B.E. & Nisbet, R.M. (2014), Consequences of dispersal heterogeneity for population spread and persistence in the face of advection, Bulletin of Mathematical Biology,
76(11):2681{2710, DOI:10.1007/s11538-014-0014-z

Stover, J.P., Kendall, B.E. & Fox, G.A. (2012), Demographic heterogeneity impacts density-dependent population dynamics, Theoretical Ecology, 5:297{309. DOI:10.1007/s12080-011-0129-x

Timmins, S.M., James, A., Stover, J., & Plank, M. (2010), Is garden waste dumping really a problem?, 17th Australasian Weeds Conference Papers and Proceedings, p.455{458 URL: http://www.caws.org.au/awc/2010/awc201014551.pdf

Attractive n-Type Contact Processes, (2010), arXiv:1006.5723

  • Stochastic processes and probability theory
  • Theoretical ecology, population modeling
  • Mathematical modeling
  • Interacting particle systems, stochastic spatial models
  • Markov chain Monte-Carlo, exact sampling