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Jonathan Taylor
Jonathan Taylor
Professor of Statistics, Stanford University
Dirección de correo verificada de stanford.edu - Página principal
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Citado por
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Año
Random fields and geometry
RJ Adler, JE Taylor
Springer, 2007
19292007
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
15162004
Distributed neural representation of expected value
B Knutson, J Taylor, M Kaufman, R Peterson, G Glover
Journal of Neuroscience 25 (19), 4806-4812, 2005
11662005
The solution path of the generalized lasso
RJ Tibshirani, J Taylor
The annals of statistics 39 (3), 1335-1371, 2011
8572011
A significance test for the lasso
R Lockhart, J Taylor, RJ Tibshirani, R Tibshirani
Annals of statistics 42 (2), 413, 2014
7882014
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
6582016
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
6582016
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
6022012
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
5622001
A lasso for hierarchical interactions
J Bien, J Taylor, R Tibshirani
Annals of statistics 41 (3), 1111, 2013
4962013
Unified univariate and multivariate random field theory
KJ Worsley, JE Taylor, F Tomaiuolo, J Lerch
Neuroimage 23, S189-S195, 2004
3892004
Degrees of freedom in lasso problems
RJ Tibshirani, J Taylor
The Annals of Statistics 40 (2), 1198-1232, 2012
3742012
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
3672016
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
3122006
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
Statistical learning and selective inference
J Taylor, RJ Tibshirani
Proceedings of the National Academy of Sciences 112 (25), 7629-7634, 2015
2902015
Forward stagewise regression and the monotone lasso
T Hastie, J Taylor, R Tibshirani, G Walther
Electronic Journal of Statistics 1, 1-29, 2007
2792007
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
2792003
Optimal inference after model selection
W Fithian, D Sun, J Taylor
arXiv preprint arXiv:1410.2597, 2014
2782014
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
2642009
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Artículos 1–20