Bayesian Short Course- Instructors
Dr. Tom Hobbs has taught Bayesian analysis of ecological data and models at Colorado State University for 15 years. He has also taught short courses similar to the one proposed here for the U.S. Geological Survey, the Grimso Wildlife Research Institute (Sweden) The Woods Hole Research Center, and at the National Socio-Environmental Synthesis Center. Together with Mevin Hooten, he published a widely used introductory text on Bayesian modeling. He is an expert in Bayesian analysis of models of population dynamics and their application to management problems using forecasting. Hobbs takes special pride in making challenging, quantitative concepts clear and accessible to ecologists who never considered themselves
to be particularly adept with mathematics and statistics.
Dr. Bailey Fosdick is an Associate Professor of Statistics at Colorado State University. She has taught short courses for social scientists on network modeling and an 8-week Applied Bayesian Analysis course as part of the Masters of Applied Statistics program at CSU. One of Fosdick’s research arms focuses on STEM education, specifically improving the learning experiences of underrepresented minorities in college-level mathematics courses. She is a member of the American Statistical Association’s Waller Education Award Committee and serves as an Associate Editor for Bayesian Analysis and Journal of Computational and Graphical Statistics. Fosdick also co-organized the 2019 Institute of Mathematical Sciences New Researchers Conference which aimed to promote interaction and networking among 60 junior researchers in statistics and probability and to provide them with valuable insights from leaders in the field.
Dr. Mevin Hooten is a Professor in the Department of Statistics at the University of Texas and Fellow of the American Statistical Association. He has taught statistical methods for 20 years and has coauthored three pedagogical textbooks and four additional monographs that demystify the use and application of statistical modeling for ecological and environmental problems. Hooten has developed and taught shortcourses and workshops on a number of statistical topics including: Bayesian methods and computing, spatial and spatio-temporal statistics, Bayesian decision theory and model selection, and animal movement modeling. He is also Chair of the American Statistical Association — Section on Statistics and the Environment and serves as Associate Editor for four statistical journals (Biometrics, Annals of Applied Statistics, Environmetrics, and Journal of Agricultural, Biological, and Environmental Statistics).