Yuval Benjamini


I am now a Stein fellow at the Statistics department at Stanford University. In May 2013, I graduated from the Statistics department at Berkeley. Please find my new webpage at http://statweb.stanford.edu/~yuvalben. I am interested in both exploratory data analysis and statistical inference for large scale data, in particular when simultaneous multiple measurements are available. This scenario is common in fMRI or multi-electrode neuronal data, where we simultaneously measure many responses for the same cognitive task. It is also the case in DNA copy-number or gene expression measurements along the genome.

About me



  1. The shuffle estimator for explainable variance in fMRI experiments (2013)
    Y. Benjamini, B. Yu. ( Annals of Applied Statistics).

  1. Summarizing and correcting for the GC-content bias in high throughput sequencing (2012),
    Y. Benjamini, T.P. Speed
    Nucleic Acids Research.

  1. Reconstructing visual experiences from brain activity evoked by natural movies (2011),
    S. Nishimoto, A.T. Vu, T. Naselaris, Y. Benjamini, B. Yu, J.L. Gallant.
    Current Biology, 21 (19)  pp. 1641–1646.

  1. Envelope models for parsimonious and efficient multivariate linear regression, Comment (2010)
    J. Jia, Y. Benjamini, C. Lim, G. Raskutti, B. Yu, Statistica Sinica (20) pp 960-966.

  1. Effects of Productivity and Disturbance on Species Richness: A Neutral Model (2006)
    R. Kadmon, Y. Benjamini. American Naturalist, 67(6), 939-946.


  1. : GCcorrect (NEW VERSION) - R package