Dan Cheng

Assistant Professor
Faculty
TEMPE Campus
Mailcode
1804

Biography

Dan Cheng is an assistant professor of statistics in the School of Mathematical and Statistical Sciences. He studies statistical inference of random fields and dependent data, image analysis, signal detection, Gaussian random fields, extreme value theory and random matrices. 

Education

Ph.D. in Statistics, Michigan State University, 2013

B.S. in Mathematics, Beijing Normal University, 2005

Courses

Spring 2019
Course Number Course Title
STP 530 Applied Regression Analysis
Fall 2018
Course Number Course Title
STP 501 Theory of Statis I: Dist Thry

Expertise Areas