Daniela Witten
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Daniela Witten
Martin, Witten, and Willis (2019) Modeling microbial abundances and dysbiosis with beta-binomial regression. <i> Annals of Applied Statistics</i> 14(1): 94-115.

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2019Daniela WittenJuly 3, 2019
Inoue et al. (2017) A systematic comparison reveals substantial differences in chromosomal versus episomal encoding of enhancer activity. <i>Genome Research</i> 27(1): 38-52.

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2017Daniela WittenMay 21, 2019
James, Witten, Hastie, and Tibshirani (2013) An Introduction to Statistical Learning. <i>Springer Series in Statistics.</i> 426 pages.

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2013Daniela WittenMay 20, 2019
Rentzsch et al. (2019) CADD: Predicting the deleteriousness of variants throughout the human genome. <i>Nucleic Acids Research</i> 47(D1): D886- D894.

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2019Daniela WittenMay 20, 2019
Chou et al. (2008) Postoperative pain following foot and ankle surgery: a prospective study. <i>Foot and Ankle International</i> 29(11): 1064-1069

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2008Daniela WittenMay 20, 2019
Wu and Witten (2019) Flexible and interpretable models for survival data. <i>Journal of Computational and Graphical Statistics</i> 28(4): 954-966.

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2019Daniela WittenMay 20, 2019
Gao, Bien, and Witten (2020) Are clusterings of multiple data views independent? <i>Biostatistics</i> 21(4): 692–708.

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2020Daniela WittenMay 20, 2019
Jewell, Hocking, Fearnhead, and Witten (2020) Fast non-convex deconvolution of calcium imaging data. <i>Biostatistics</i> 21(4): 709–726.

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2020Daniela WittenMay 20, 2019
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.

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2019Daniela WittenMay 20, 2019
Jewell and Witten (2019) Discussion of “Gene hunting with hidden Markov model knockoffs”. <i>Biometrika</i> 106(1): 23-26.

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2019Daniela WittenMay 20, 2019
Petersen and Witten (2018) Data-adaptive additive modeling. <i>Statistics in Medicine</i> 38(4): 583-600.

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2018Daniela WittenMay 20, 2019
Morrison, Simon, and Witten (2017) Simultaneous detection and estimation of trait associations with genomic phenotypes. <i>Biostatistics</i> 18(1): 147-164.

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2017Daniela WittenMay 20, 2019
Tan, Ning, Witten, and Liu (2016) Replicates in high dimensions, with applications to latent variable graphical models. <i>Biometrika</i> 103(4): 761-777.

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2016Daniela WittenMay 20, 2019
Petersen, Simon, and Witten (2016) Convex regression with interpretable sharp partitions. <i>Journal of Machine Learning Research</i> 17(94): 1-31.

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2016Daniela WittenMay 20, 2019
Sheng, Witten, and Zhou (2016) Hypothesis testing for differentially-correlated features. <i>Biostatistics</i> 17(4): 677-691.

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2016Daniela WittenMay 20, 2019
Haris, Witten, and Simon (2016) Convex modeling of interactions with strong heredity. <i>Journal of Computational and Graphical Statistics</i> 25(4): 981-1004.

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2016Daniela WittenMay 20, 2019
Petersen, Witten, and Simon (2016) Fused lasso additive model. <i>Journal of Computational and Graphical Statistics</i> 25(4): 1005-1025.

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2016Daniela WittenMay 20, 2019
Tan and Witten (2015) Statistical properties of convex clustering. <i>Electronic Journal of Statistics</i> 9: 2324-2327.

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2015Daniela WittenMay 20, 2019
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.

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2015Daniela WittenMay 20, 2019
Chen, Witten, and Shojaie (2015) Selection and estimation in mixed graphical models. <i>Biometrika</i> 102(1): 47-64.

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2015Daniela WittenMay 20, 2019
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Email
dwitten@uw.edu

 
 

Department of Statistics
B-323, Padelford Hall, Box 354322, Seattle WA 98195-4322 

Department of Biostatistics
Room 332, Hans Rosling Center, Box 351617, Seattle WA 98195-1617