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Jonathan Taylor
Jonathan Taylor
Professor of Statistics, Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Random fields and geometry
RJ Adler, JE Taylor
Springer, 2007
18992007
Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach
JD Storey, JE Taylor, D Siegmund
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2004
15072004
Distributed neural representation of expected value
B Knutson, J Taylor, M Kaufman, R Peterson, G Glover
Journal of Neuroscience 25 (19), 4806-4812, 2005
11592005
The solution path of the generalized lasso
RJ Tibshirani, J Taylor
The annals of statistics 39 (3), 1335-1371, 2011
8472011
A significance test for the lasso
R Lockhart, J Taylor, RJ Tibshirani, R Tibshirani
Annals of statistics 42 (2), 413, 2014
7782014
Exact post-selection inference, with application to the lasso
JD Lee, DL Sun, Y Sun, JE Taylor
The Annals of Statistics 44 (3), 907-927, 2016
6462016
Exact post-selection inference, with application to the lasso
JD Lee, DL Sun, Y Sun, JE Taylor
The Annals of Statistics 44 (3), 907-927, 2016
6462016
Strong rules for discarding predictors in lasso‐type problems
R Tibshirani, J Bien, J Friedman, T Hastie, N Simon, J Taylor, ...
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2012
5882012
Structural asymmetries in the human brain: a voxel-based statistical analysis of 142 MRI scans
KE Watkins, T Paus, JP Lerch, A Zijdenbos, DL Collins, P Neelin, J Taylor, ...
Cerebral cortex 11 (9), 868-877, 2001
5612001
A lasso for hierarchical interactions
J Bien, J Taylor, R Tibshirani
Annals of statistics 41 (3), 1111, 2013
4902013
Unified univariate and multivariate random field theory
KJ Worsley, JE Taylor, F Tomaiuolo, J Lerch
Neuroimage 23, S189-S195, 2004
3882004
Degrees of freedom in lasso problems
RJ Tibshirani, J Taylor
The Annals of Statistics 40 (2), 1198-1232, 2012
3682012
Exact post-selection inference for sequential regression procedures
RJ Tibshirani, J Taylor, R Lockhart, R Tibshirani
Journal of the American Statistical Association 111 (514), 600-620, 2016
3602016
Deformation-based surface morphometry applied to gray matter deformation
MK Chung, KJ Worsley, S Robbins, T Paus, J Taylor, JN Giedd, ...
NeuroImage 18 (2), 198-213, 2003
3112003
Genotypic predictors of human immunodeficiency virus type 1 drug resistance
SY Rhee, J Taylor, G Wadhera, A Ben-Hur, DL Brutlag, RW Shafer
Proceedings of the National Academy of Sciences 103 (46), 17355-17360, 2006
3092006
Statistical learning and selective inference
J Taylor, RJ Tibshirani
Proceedings of the National Academy of Sciences 112 (25), 7629-7634, 2015
2852015
Mutation patterns and structural correlates in human immunodeficiency virus type 1 protease following different protease inhibitor treatments
TD Wu, CA Schiffer, MJ Gonzales, J Taylor, R Kantor, S Chou, D Israelski, ...
Journal of virology 77 (8), 4836-4847, 2003
2782003
Forward stagewise regression and the monotone lasso
T Hastie, J Taylor, R Tibshirani, G Walther
Electronic Journal of Statistics 1, 1-29, 2007
2762007
Optimal inference after model selection
W Fithian, D Sun, J Taylor
arXiv preprint arXiv:1410.2597, 2014
2742014
A Matlab toolbox for the statistical analysis of univariate and multivariate surface and volumetric data using linear mixed effects models and random field theory
KJ Worsley, J Taylor, F Carbonell, M Chung, E Duerden, B Bernhardt, ...
NeuroImage Organisation for Human Brain Mapping 2009 Annual Meeting 47, S102, 2009
2582009
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Articles 1–20