Academic Sessions
The conference will feature many academic sessions on a variety of topics. The following sessions have been confirmed and many more are being planned.
Statistical modeling and inference in economics and insurance
Ricardas Zitikis
University of Western Ontario, Canada
zitikis@stats.uwo.ca
Sampling Theory and Methods
Jerry Reiter
Duke University
jerry@stat.duke.edu
Statistical Genomics
Sunil Mathur
University of Memphis
skmathur@memphis.edu
Causal Inference in Medical Research
Jason Brinkley
East Carolina University
brinkleyj@ecu.edu
Combinatorics
Gyula Katona
Renyi Institute, Hungarian Academy of Sciences, Hungary
ohkatona@renyi.hu
Recent Innovations in Pharmaceutical Statistics
Sujit Ghosh
North Carolina State University
sujit.ghosh@ncsu.edu
Statistical Methods in Undergraduate Research
Jan Rychtář & Mary Crowe
University of North Carolina at Greensboro
rychtar@uncg.edu, mlcrowe@uncg.edu
Applied Semiparametrics
Ben Kedem
University of Maryland, College Park
bnk@math.umd.edu
Design of Experiments
Manohar Aggarwal
University of Memphis
maggarwl@memphis.edu
Recent Advances in Survey Sampling
Evrim Oral
Louisiana State University Health Sciences Center in New Orleans
eoral@lsuhsc.edu
Mathematical Biology
Jan Rychtář
University of North Carolina at Greensboro
rychtar@uncg.edu
Statistical Methods in Weather Modeling and Prediction
Nalini Ravishanker
University of Connecticut
nalini.ravishanker@uconn.edu
Statistical Consulting
Stephan Ogenstad
Statogen Consulting, LLC
Wake Forest, NC
sogenstad@statogen-consulting.com
Statistical Methods in Information Systems Research
Lakshmi Iyer
University of North Carolina at Greensboro
lsiyer@uncg.edu
Multivariate Analysis
Ravi Khattree
Oakland University
khattree@oakland.edu
Recent Advances in Inference on Size Biased Data
Yogendra P. Chaubey
Concordia University, Montreal, Quebec, Canada
chaubey@alcor.concordia.ca