David O. Siegmund

Affiliations: 
Stanford University, Palo Alto, CA 
Area:
Statistics
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"David Siegmund"
Bio:

https://www.proquest.com/openview/ec19a6c74e169b6a024830940c39858e/1

Parents

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Herbert E. Robbins grad student 1966 Columbia
 (Some Problems in the Theory of Optimal Stopping Rules)

Children

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Tze L. Lai grad student
Steven P. Lalley grad student 1981 Stanford
Kai-Fai Ho grad student 2000 Stanford
Hsiu-Khuern Tang grad student 2000 Stanford
Jie Peng grad student 2005 Stanford
Nancy R. Zhang grad student 2005 Stanford
Jianxin Shi grad student 2006 Stanford
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Publications

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Fang X, Li J, Siegmund D. (2020) Segmentation and estimation of change-point models: False positive control and confidence regions Annals of Statistics. 48: 1615-1647
Xia LC, Sakshuwong S, Hopmans ES, et al. (2016) A genome-wide approach for detecting novel insertion-deletion variants of mid-range size. Nucleic Acids Research
Zhang NR, Yakir B, Xia LC, et al. (2016) Scan statistics on Poisson random fields with applications in genomics The Annals of Applied Statistics. 10: 726-755
Li J, Siegmund D. (2015) Higher criticism: $p$-values and criticism Annals of Statistics. 43: 1323-1350
Xie Y, Siegmund D. (2013) Sequential multi-sensor change-point detection Annals of Statistics. 41: 670-692
Siegmund D. (2013) Change-Points: From Sequential Detection to Biology and Back Sequential Analysis. 32: 2-14
Zhang NR, Siegmund DO. (2012) Model selection for high-dimensional, multi-sequence change-point problems Statistica Sinica. 22: 1507-1538
Siegmund D, Yakir B, Zhang NR. (2011) Detecting simultaneous variant intervals in aligned sequences The Annals of Applied Statistics. 5: 645-668
Siegmund DO, Zhang NR, Yakir B. (2011) False discovery rate for scanning statistics Biometrika. 98: 979-985
Zhang NR, Siegmund DO, Ji H, et al. (2010) Detecting simultaneous changepoints in multiple sequences. Biometrika. 97: 631-645
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