Yoav Benjamini

Yoav Benjamini

Yoav Benjamini
Born January 5, 1949
Israel
Residence Israel
Nationality Israeli
Fields Statistics
Institutions Tel Aviv University
Known for False discovery rate
BH procedure
Notable awards Israel Prize (2012)

Yoav Benjamini (born January 5, 1949) is an Israeli statistician best known for development of the “False Discovery Rate” (FDR) criterion. Member of the Israel Statistical Association, American Statistical Association, The Institute of Mathematical Statistics, Eastern Mediterranean Region of the International Biometric Society. He has an Erdos Number 3.[1]

Scientific fields of interest

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), and centers on the “False Discovery Rate” (FDR) criterion, as well as on general methods for data analysis, data mining and data visualization. His current [2] interest is the replicability problem in science: too often, the results of studies gaining headlines cannot be replicated by other experimenters.

Honors and awards

Publications

1983: Is the T-test really conservative when the parent distribution is long-tailed, Journal of the American Statistical Association

1986: Observational rainfall - runoff analysis for estimating effects of cloud seeding on water resources in Northern Israel, Journal of Hydrology (with Y. Harpaz)

1988: Opening the box of a boxplot, The American Statistician

1990: More powerful procedures for multiple significance testing, Statistics in Medicine (with Y. Hochberg)

1995: Controlling the False Discovery Rate: a practical and powerful approach to multiple testing, Journal of the Royal Statistical Society, Series B (with Y. Hochberg)

1998: Confidence intervals with more power to determine the sign: two ends constrain the means, Journal of the American Statistical Association (with Y. Hochberg & PB. Stark)

2000: The adaptive control of the false discovery rate in multiple comparison problems, The Journal of Educational and Behavioral Statistics (with Y. Hochberg)

2001: The control of the False Discovery Rate in multiple testing under dependency, Annals of Statistics (with D. Yekutieli)

2002: John Tukey’s contributions to multiple comparisons, Annals of Statistics, (with H. Braun)

2003: Identifying Differentially Expressed Genes Using False Discovery Rate Controlling Procedures, Bioinformatics (with A. Reiner & D. Yekutieli)

2005: Genotype-environment interactions in mouse behavior: A way out of the problem, Proceedings of the National Academy of Sciences (with N. Kafkafi, A. Sakov & others) 2005: False discovery rate controlling confidence intervals for selected parameters, Journal of the American Statistical Association (with Y. Yekutieli

2006: Adapting to unknown sparsity by controlling the false discovery rate, Annals of Statistics (with: F. Abramovich, D. Donoho & IM. Johnstone)

2006: Adaptive linear step-up procedures that control the false discovery rate, Biometrika (with A.M. Krieger & D. Yekutieli)

2008: Screening for partial conjunction hypotheses. Biometrics (with R. Heller)

2011: Quantifying the build up in extent and complexity of behavior - the case of free exploration in mice, Proceedings of the National Academy of Sciences (with E. Fonio, T. Galili and others).

And others.

References

External links

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