Bio
Guenther Walther studied mathematics, economics, and computer science at the University of Karlsruhe in Germany and received his Ph.D. in Statistics from UC Berkeley in 1994.
His research has focused on statistical methodology for detection problems, shape-restricted inference, and mixture analysis, and on statistical problems in astrophysics and in flow cytometry.
He received a Terman fellowship, a NSF CAREER award, and the Distinguished Teaching Award of the Dean of Humanities and Sciences at Stanford. He has served on the editorial boards of the Journal of Computational and Graphical Statistics, the Journal of the Royal Statistical Society, the Annals of Statistics, the Annals of Applied Statistics, and Statistical Science. He was program co-chair of the 2006 Annual Meeting of the Institute of Mathematical Statistics and served on the executive committee of IMS from 1998 to 2012.
2022-23 Courses
- Introduction to Statistical Inference
STATS 200 (Aut) - Introduction to Statistical Methods: Precalculus
PSYCH 10, STATS 160, STATS 60 (Spr) -
Independent Studies (6)
- Independent Study
DATASCI 199 (Win, Spr, Sum) - Independent Study
STATS 199 (Aut, Win, Spr) - Independent Study
STATS 299 (Aut, Win, Spr, Sum) - Industrial Research for Statisticians
STATS 398 (Aut, Win, Spr, Sum) - Practical Training
MCS 198 (Sum) - Research
STATS 399 (Aut, Win, Spr, Sum)
- Independent Study
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Prior Year Courses
2021-22 Courses
- Introduction to Applied Statistics
STATS 191 (Win)
2020-21 Courses
- Introduction to Applied Statistics
STATS 191 (Win) - Introduction to Statistical Methods: Precalculus
PSYCH 10, STATS 160, STATS 60 (Aut)
2019-20 Courses
- Data Mining and Analysis
STATS 202 (Aut) - Data Science 101
STATS 101 (Spr)
- Introduction to Applied Statistics
Stanford Advisees
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Doctoral Dissertation Reader (AC)
Julie Zhang -
Orals Evaluator
Zhen Zhu -
Doctoral Dissertation Co-Advisor (AC)
Jayoon Jang