Hjort, Garrett, Gordon, Ancell, . . . , and Stuber (2026) Prefrontal to ventral tegmental area dynamics drive contingency degradation. <i>Nature</i> 655, 174–182.
Dharamshi, Zou, and Witten (2026) Testing hypothesis via orthogonalization. arXiv:2606.29732
Neufeld, Perry, and Witten (2026) Inference conditional on selection: a review. To appear in <i>Annual Review of Statistics and its Application</i>.
Zou, Witten, and Williamson (2026) Generalized prediction-powered inference, with application to binary classifier evaluation. arXiv:2602.10332
Perry, Panigrahi, and Witten (2026) Post-selection inference for penalized M-estimators. arXiv: 2601.13514
Ancell, Witten, and Kessler (2025) Post-selection inference with a single realization of a network. arXiv:2508.11843
McGough, Witten, and Kessler (2025) Valid F-screening in linear regression. arXiv:2505.23113
Connor, Zhang, Neufeld, . . . and Stevens (2025) Bioprinted platform for parallelized screening of engineered microtissues <i>in vivo</i>. <i>Cell Stem Cell</i> 32: 858-853.
Xu, Witten, and Shojaie (2026) A unified framework for semi-parametrically efficient semi-supervised learning. To appear in <i>Biometrika</i>.
Dharamshi, Neufeld, Gao, Witten, and Bien (2025) Thinning a Wishart random matrix. To appear in <i>Biometrika</i>.
Kong, Ancell, Witten, and Zweifel (2024) Valence and salience encoding in the central amygdala. <i>eLife</i> 13: RP101980.
Dharamshi, Neufeld, Gao, Bien, and Witten (2025) Decomposing Gaussians with unknown covariance. To appear in <i>Biometrika</i>.
Perry, Xu, McGough, and Witten (2024) Infer-and-widen versus split-and-condition: two tales of selective inference. arXiv:2408.06323
Neufeld, Dharamshi, Gao, Witten, and Bien (2025) Discussion of "Data fission: splitting a single data point". <i>Journal of the American Statistical Association</i> 120(549): 151-157.
Perry, Panigrahi, Bien, and Witten (2026) Inference on the proportion of variance explained in principal component analysis. <i>J. American Statistical Association</i> 121(553): 667-677.
James, Witten, Hastie, Tibshirani, and Taylor (2023) An Introduction to Statistical Learning, with Applications in Python. Springer Series in Statistics. 607 pages.
James, Witten, Hastie, and Tibshirani (2021) An Introduction to Statistical Learning, with Application in R, 2nd Edition. Springer Series in Statistics. 622 pages.
Motwani and Witten (2023) Re-visiting inference after prediction. <i>Journal of Machine Learning Research</i> 24(394): 1−18.
Zdeblick, Shea-Brown, Witten, and Buice (2023) Modeling functional cell types in spike train data. <i>PLoS Computational Biology</i> 19(10): e1011509.
Neufeld, Popp, Gao, Battle, and Witten (2023) Negative binomial count splitting for single-cell RNA sequencing data. arXiv:2307.12985
