Shih-Kang Chao 趙士綱

E-mail: skchao74 [AT] purdue [DOT] edu
Phone: +1-765-496-9544
Fax: +1-765-494-0558
Office hours: Mon 10:30-11:20 AM (HAAS 115), Fri 12:30-1:20 PM
Office: HAAS 120
Mail address: Department of Statistics
Purdue University
250 N University St.
West Lafayette, IN 47907-2066
U.S.A.
Big Data Theory Research Group
Department of Statistics
Purdue University

Curriculum Vitae

Please find my CV here (updated: Oct. 22, 2017)

Education

2011-2015

Ph.D. in Statistics, Humboldt University of Berlin, Germany
2009-2011 M.B.A. in Finance (Mathematical Finance), National Taiwan University, Taiwan

2003-2008

B.A. in Finance (Minor in Mathematics), National Taiwan University, Taiwan

Awards

IMS NRC Travel Award, 2017
IMS Travel Award, 2016
Scholarship of BDPEMS, Germany, 2011-2014
Fellowship of the Phi Tau Phi Scholastic Honor Society, Republic of China (Taiwan), 2011

Research Interest

I am trained as a theoretical statistician, but I like to think like a data engineer. There are so many things that statisticians can say about data engineering and machine learning. For example, confidence intervals can be constructed for certain machine learning problems. It is my aim to create uncertainty quantification methods for machine learning problems by taking advantage of the wisdom of statistics.

Research Gate

Google Scholar

Preprints

Publications

Teaching

Fall 2017: STAT350 Introduction To Statistics (textbook: Kokoska, S. (2015) Introductory statistics: a problem-solving approach, 2nd edition) [course outline][syllabus]

Fall 2015: STAT350 Introduction To Statistics (textbook: Kokoska, S. (2015) Introductory statistics: a problem-solving approach, 2nd edition)

Past Teaching at Humboldt University of Berlin

Multivariate Analysis II (SS 13) (SS 15)
Statistical programming languages (SS 14)
Statistical Tools in Finance and Insurance (WS 13/14)
Statistics I and II recitation

Lecture Slides

Qunatile Regression: Primary Techniques