Perry, Panigrahi, Bien, and Witten (2024) Inference on the proportion of variance explained in principal component analysis. arXiv:2402.16725 [paper] [software] Read More Pre-PrintsDaniela WittenFebruary 27, 2024
James, Witten, Hastie, Tibshirani, and Taylor (2023) An Introduction to Statistical Learning, with Applications in Python. Springer Series in Statistics. 607 pages. [amazon] [website] Read More 2023Daniela WittenDecember 11, 2023
James, Witten, Hastie, and Tibshirani (2021) An Introduction to Statistical Learning, with Application in R, 2nd Edition. Springer Series in Statistics. 622 pages. [website] [amazon] Read More 2021Daniela WittenDecember 11, 2023
Motwani and Witten (2023) Re-visiting inference after prediction. To appear in <i>Journal of Machine Learning Research</i>. arXiv:2306.13746 [paper] [software] Read More 2023Daniela WittenOctober 26, 2023
Zdeblick, Shea-Brown, Witten, and Buice (2023) Modeling functional cell types in spike train data. <i>PLoS Computational Biology</i> 19(10): e1011509. [paper] [software] Read More 2023Daniela WittenSeptember 12, 2023
Dharamshi, Neufeld, Motwani, Gao, Witten, and Bien (2024) Generalized data thinning using sufficient statistics. To appear in <i>Journal of the American Statistical Association</i>. [paper] [software] Read More 2024Daniela WittenMarch 24, 2023
Neufeld, Dharamshi, Gao, and Witten (2024) Data thinning for convolution-closed distributions. To appear in <i>Journal of Machine Learning Research</i>. [paper] [software] Read More 2024Daniela WittenFebruary 1, 2023
Saha, Witten, and Bien (2024) Inferring independent sets of Gaussian variables after thresholding correlations. To appear in <i>Journal of the American Statistical Association</i>. [paper] [software] Read More 2024Daniela WittenDecember 12, 2022
Chen and Witten (2023) Selective inference for k-means clustering. <i>Journal of Machine Learning Research</i> 24(152): 1-41. [paper] [software] Read More 2023Daniela WittenJuly 6, 2022
Neufeld, Gao, Popp, Battle, and Witten (2022) Inference after latent variable estimation for single-cell RNA sequencing data. To appear in <i>Biostatistics</i>. [paper] [software] Read More 2022Daniela WittenJuly 6, 2022
Tan, Sun, and Witten (2023) Sparse reduced rank Huber regression in high dimensions. <i>Journal of the American Statistical Association</i> 118(544): 2383–2393. [paper] Read More 2023Daniela WittenFebruary 18, 2022
Chen, Jewell, and Witten (2022) More powerful selective inference for the graph fused lasso. <i>Journal of Computational and Graphical Statistics</i> 32(2): 577-587. [paper] [software] Read More 2022Daniela WittenSeptember 23, 2021
Neufeld and Witten (2021) From two cultures to one. <i>Observational Studies</i> 7(1): 171-174. [paper] Read More 2021Daniela WittenJuly 6, 2021
Neufeld, Gao, and Witten (2022) Tree-values: Selective inference for regression trees. <i>Journal of Machine Learning Research</i>: 23(305): 1-43. [paper] [software] Read More 2022Daniela WittenJuly 1, 2021
Chen, Jewell, and Witten (2023) Quantifying uncertainty in spikes estimated from calcium imaging data. <i> Biostatistics</i> 24(2): 481-501. [paper] [software] Read More 2023Daniela WittenJune 4, 2021
Fleming, Jewell, Engelhard, Witten, and Witten (2021) Inferring spikes from calcium imaging in dopamine neurons. <i>PLoS ONE</i> 16(6): e0252345. [paper] [software and data] Read More 2021Daniela WittenDecember 23, 2020
Gao, Bien, and Witten (2022) Selective inference for hierarchical clustering. To appear in <i>Journal of the American Statistical Association</i>. [paper] [software] Read More 2022Daniela WittenDecember 23, 2020
Nofallah, Mehta, Mercan, . . . and Shapiro. (2021) Machine learning techniques for mitoses classification. <i>Computerized Medical Imaging and Graphics</i> 87: 101832. [paper] Read More 2021Daniela WittenDecember 23, 2020
Zhao, Witten, and Shojaie (2021) In defense of the indefensible: a very naive approach to high-dimensional inference. <i>Statistical Science</i> 36(4): 562-577. [paper] Read More 2021Daniela WittenOctober 29, 2020
Xia, Ma, Cui, Bzdok, Thirion, Bassett, Satterthwaite, Shinohara, Witten (2020) Multi-Scale Network Regression .... <i>Human Brain Mapping</i> 41: 2553-2566. [paper] Read More 2020Daniela WittenJune 25, 2020