- Additional Positions at AU
- Bayesian methods
- PhD, Missouri
- Jun Lu got his Bachelor's degree in statistics from East China Normal University in Shanghai, China, his hometown. he then went to University of Missouri-Columbia, from where he received his Ph.D. in 2004. Since then, he has been a faculty member at American University. Jun has taught varies statistics courses since he was in graduate school. These courses cover a wide variety of topics at different levels; ranging from the basic statistics courses, to the applied statistical methods courses (Linear regression, Design of experiments, Time series, Data analysis) and the advanced theoretical courses (Generalized linear model, Stochastic processes). All courses involve the use of statistical software such as StatCrunch, SPSS, SAS, Splus and R.
STAT-616 Generalized Linear Models
STAT-631 Mathematical Statistics II
DATA-412 Statistical Programming in R
STAT-614 Statistical Methods
STAT-630 Mathematical Statistics I
Jun's research interests include Bayesian methods and applications, interdisciplinary statistical application, consulting and statistical education. He enjoy collaborating with fellow statisticians and researchers in applied fields. One of his long term projects is to develop Bayesian hierarchical models for cognitive psychology studies, such as the multiple components of human memory. His recent application projects include topics on tree mortality, human rights violation, information-seeking behavior, and teaching SAS.