Jonathan Taylor

27 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-1716-7160

Department of Statistics, Stanford University

Publications

• Exact selective inference with randomization — Biometrika 2024
• Approximate Selective Inference via Maximum Likelihood — Journal of the American Statistical Association 2023
• Integrative methods for post-selection inference under convex constraints — The Annals of Statistics 2021
• Selection-Corrected Statistical Inference for Region Detection With High-Throughput Assays — Journal of the American Statistical Association 2019
• Selective inference with unknown variance via the square-root lasso — Biometrika 2018
• A General Framework for Estimation and Inference From Clusters of Features — Journal of the American Statistical Association 2018
• Selective inference with a randomized response — The Annals of Statistics 2018
• Selecting the number of principal components: Estimation of the true rank of a noisy matrix — The Annals of Statistics 2017
• Communication-efficient Sparse Regression — Journal of Machine Learning Research 2017
• Exact Post-Selection Inference for Sequential Regression Procedures — Journal of the American Statistical Association 2016
• Exact post-selection inference, with application to the lasso — The Annals of Statistics 2016
• Inference in adaptive regression via the Kac–Rice formula — The Annals of Statistics 2016
• A Generalized Least-Square Matrix Decomposition — Journal of the American Statistical Association 2014
• A significance test for the lasso — The Annals of Statistics 2014
• A lasso for hierarchical interactions — The Annals of Statistics 2013
• Degrees of freedom in lasso problems — The Annals of Statistics 2012
• Strong rules for discarding predictors in lasso-type problems — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2012
• The solution path of the generalized lasso — The Annals of Statistics 2011
• Group Comparison of Eigenvalues and Eigenvectors of Diffusion Tensors — Journal of the American Statistical Association 2010
• Random fields of multivariate test statistics, with applications to shape analysis — The Annals of Statistics 2008
• False discovery rate analysis of brain diffusion direction maps — The Annals of Applied Statistics 2008
• Tilted Euler characteristic densities for Central Limit random fields, with application to “bubbles” — The Annals of Statistics 2008
• Inference for eigenvalues and eigenvectors of Gaussian symmetric matrices — The Annals of Statistics 2008
• Detecting Sparse Signals in Random Fields, With an Application to Brain Mapping — Journal of the American Statistical Association 2007
• Maxima of discretely sampled random fields, with an application to ‘bubbles’ — Biometrika 2007
• Acknowledgement of priority: Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2005
• Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2004