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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
Worlds in motion: understanding international migration at the end of the millennium: understanding international migration at the end of the millennium
DS Massey, J Arango, G Hugo, A Kouaouci, A Pellegrino
Clarendon Press, 1999
55731999
Random fields and geometry
RJ Adler, JE Taylor
Springer Science & Business Media, 2009
23452009
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
17162004
Distributed neural representation of expected value
B Knutson, J Taylor, M Kaufman, R Peterson, G Glover
Journal of Neuroscience 25 (19), 4806-4812, 2005
12732005
The solution path of the generalized lasso
RJ Tibshirani
Stanford University, 2011
11192011
Exact post-selection inference, with application to the lasso
JD Lee, DL Sun, Y Sun, JE Taylor
9272016
A significance test for the lasso
R Lockhart, J Taylor, RJ Tibshirani, R Tibshirani
Annals of statistics 42 (2), 413, 2014
8812014
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
7832012
A lasso for hierarchical interactions
J Bien, J Taylor, R Tibshirani
Annals of statistics 41 (3), 1111, 2013
6322013
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
6102001
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
4742016
Degrees of freedom in lasso problems
RJ Tibshirani, J Taylor
4572012
Unified univariate and multivariate random field theory
KJ Worsley, JE Taylor, F Tomaiuolo, J Lerch
Neuroimage 23, S189-S195, 2004
4512004
Statistical learning and selective inference
J Taylor, RJ Tibshirani
Proceedings of the National Academy of Sciences 112 (25), 7629-7634, 2015
4462015
Optimal inference after model selection
W Fithian, D Sun, J Taylor
arXiv preprint arXiv:1410.2597, 2014
3792014
An introduction to statistical learning: With applications in python
G James, D Witten, T Hastie, R Tibshirani, J Taylor
Springer Nature, 2023
351*2023
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
3492006
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
3382003
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
3242009
Forward stagewise regression and the monotone lasso
T Hastie, J Taylor, R Tibshirani, G Walther
3032007
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