Yoav Benjamini (Hebrew: יואב בנימיני; born 5 January 1949) is an Israeli statistician best known for development (with Yosef Hochberg) of the "false discovery rate" criterion. He is currently The Nathan and Lily Silver Professor of Applied Statistics at Tel Aviv University.
Yoav Benjamini | |
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Born | Israel | 5 January 1949
Alma mater | Princeton University |
Known for | False discovery rate |
Awards | Israel Prize (2021) |
Scientific career | |
Fields | Statistics |
Institutions | Tel Aviv University |
Thesis | Is the t-test conservative when the parent distribution is long tailed? (1981) |
Doctoral advisor | Peter Bloomfield |
Yoav graduated high school from the Hebrew Reali School in Haifa in 1966 and later studied mathematics and physics at the Hebrew University of Jerusalem, Israel graduating in 1973. His master's degree in mathematics is from the same university in 1976. In 1981, he received his PhD in statistics from Princeton University, US.[1]
Benjamini's scientific work combines theoretical research in statistical methodology with applied research that involves complex problems with massive data. The methodological work is on selective and simultaneous inference (multiple comparisons), as well as on general methods for data analysis, data mining, and data visualization. His research citations (from Google Scholar) exceeds 100,000.[2]
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