Jewell, Hocking, Fearnhead, and Witten (2020) Fast non-convex deconvolution of calcium imaging data. <i>Biostatistics</i> 21(4): 709–726.
Yu, Bien, and Witten (2019) Discussion of “Covariate-assisted ranking and screening for large-scale ...” <i>Journal of the Royal Statistical Society, Series B</i> 81(2): 229-231.
Jewell and Witten (2019) Discussion of “Gene hunting with hidden Markov model knockoffs”. <i>Biometrika</i> 106(1): 23-26.
Petersen and Witten (2018) Data-adaptive additive modeling. <i>Statistics in Medicine</i> 38(4): 583-600.
Morrison, Simon, and Witten (2017) Simultaneous detection and estimation of trait associations with genomic phenotypes. <i>Biostatistics</i> 18(1): 147-164.
Tan, Ning, Witten, and Liu (2016) Replicates in high dimensions, with applications to latent variable graphical models. <i>Biometrika</i> 103(4): 761-777.
Petersen, Simon, and Witten (2016) Convex regression with interpretable sharp partitions. <i>Journal of Machine Learning Research</i> 17(94): 1-31.
Sheng, Witten, and Zhou (2016) Hypothesis testing for differentially-correlated features. <i>Biostatistics</i> 17(4): 677-691.
Haris, Witten, and Simon (2016) Convex modeling of interactions with strong heredity. <i>Journal of Computational and Graphical Statistics</i> 25(4): 981-1004.
Petersen, Witten, and Simon (2016) Fused lasso additive model. <i>Journal of Computational and Graphical Statistics</i> 25(4): 1005-1025.
Tan and Witten (2015) Statistical properties of convex clustering. <i>Electronic Journal of Statistics</i> 9: 2324-2327.
Tan, Witten, and Shojaie (2015) The cluster graphical lasso for improved estimation of Gaussian graphical models. <i>Computational Statistics and Data Analysis</i> 85: 23-36.
Chen, Witten, and Shojaie (2015) Selection and estimation in mixed graphical models. <i>Biometrika</i> 102(1): 47-64.
Tan, London, Mohan, Lee, Fazel, and Witten (2014) Learning graphical models with hubs. <i>Journal of Machine Learning Research</i> 15: 3297-3331.
Zare ... Witten, Blau, and Noble (2014) Inferring clonal composition from multiple sections of a breast cancer. <i>PLOS Computational Biology</i> 10(7): e1003073.oble
Mohan, London, Fazel M, Witten D, and Lee (2014) Node-based learning of multiple Gaussian graphical models. <i>Journal of Machine Learning Research</i> 15: 445-488.
Tan and Witten (2014) Sparse biclustering of transposable data. <i>Journal of Computational and Graphical Statistics</i> 23(4): 985-1008.
Voorman, Shojaie, and Witten (2014) Graph estimation with joint additive models. <i>Biometrika</i> 101(1): 85-101.
Witten, Shojaie, and Zhang (2014) The cluster elastic net for high-dimensional regression with unknown variable grouping. <i>Technometrics</i> 56(1): 112-122.
Danaher, Wang, and Witten (2014) The joint graphical lasso for inverse covariance estimation ... <i>Journal of the Royal Statistical Society, Series B</i> 76(2): 373-397.
