Shih-Kang Chao 趙士綱 |
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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, Fri 1:30-2:20 PM (HAAS 115) | ||
Office: | HAAS 120 | ||
Mail address: |
Department of Statistics Purdue University 250 N University St. West Lafayette, IN 47907-2066 U.S.A. |
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Big Data Theory Research Group |
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Department of Statistics |
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Purdue University |
Curriculum Vitae
Please find my CV here
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, 2017Research 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.
Preprints
Publications
Teaching
Spring 2018: STAT350 Introduction To Statistics (textbook: Kokoska, S. (2015) Introductory statistics: a problem-solving approach, 2nd edition) [course outline][syllabus]
Fall 2017: STAT350 Introduction To Statistics (textbook: Kokoska, S. (2015) Introductory statistics: a problem-solving approach, 2nd edition)
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