Daniela Witten
27 catalog papers. Identity-linked publications and additional name matches are distinguished below.
ORCID: 0000-0002-1764-1184
University of Washington
Publications
- Thinning a Wishart Random Matrix — Biometrika 2026
- Decomposing Gaussians with unknown covariance — Biometrika 2026
- Inference on the Proportion of Variance Explained in Principal Component Analysis — Journal of the American Statistical Association 2026
- Generalized Data Thinning Using Sufficient Statistics — Journal of the American Statistical Association 2025
- Discussion of “Data Fission: Splitting a Single Data Point” — Journal of the American Statistical Association 2025
- Inferring Independent Sets of Gaussian Variables after Thresholding Correlations — Journal of the American Statistical Association 2025
- Selective Inference for Hierarchical Clustering — Journal of the American Statistical Association 2024
- Sparse Reduced Rank Huber Regression in High Dimensions — Journal of the American Statistical Association 2023
- Testing for a change in mean after changepoint detection — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2022
- Modeling microbial abundances and dysbiosis with beta-binomial regression — The Annals of Applied Statistics 2020
- Optimal estimation of variance in nonparametric regression with random design — The Annals of Statistics 2020
- Adaptive nonparametric regression with the K-nearest neighbour fused lasso — Biometrika 2020
- Discussion of ‘Gene hunting with hidden Markov model knockoffs’ — Biometrika 2019
- Exact spike train inference via $\ell_{0}$ optimization — The Annals of Applied Statistics 2018
- SCALPEL: Extracting neurons from calcium imaging data — The Annals of Applied Statistics 2018
- Network Reconstruction From High-Dimensional Ordinary Differential Equations — Journal of the American Statistical Association 2017
- Replicates in high dimensions, with applications to latent variable graphical models — Biometrika 2016
- Selection and estimation for mixed graphical models — Biometrika 2015
- Graph estimation with joint additive models — Biometrika 2014
- The joint graphical lasso for inverse covariance estimation across multiple classes — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2014
- Classification and clustering of sequencing data using a Poisson model — The Annals of Applied Statistics 2011 (name-matched, not ORCID-linked)
- Penalized classification using Fisher's linear discriminant — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2011
- Correction — Journal of the American Statistical Association 2010
- A Framework for Feature Selection in Clustering — Journal of the American Statistical Association 2010
- Discussion — Journal of the American Statistical Association 2009
- Covariance-regularized regression and classification for high dimensional problems — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2009
- Testing significance of features by lassoed principal components — The Annals of Applied Statistics 2008