More Powerful Selective Inference for the Graph Fused Lasso
From MaRDI portal
Publication:6094086
DOI10.1080/10618600.2022.2097246arXiv2109.10451OpenAlexW3199978136MaRDI QIDQ6094086
Sean Jewell, Daniela M. Witten, Yiqun Chen
Publication date: 9 October 2023
Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2109.10451
Cites Work
- Unnamed Item
- Unnamed Item
- Nonlinear total variation based noise removal algorithms
- Exact post-selection inference, with application to the Lasso
- The solution path of the generalized lasso
- Properties and refinements of the fused Lasso
- Uniform asymptotic inference and the bootstrap after model selection
- Exact post-selection inference for the generalized Lasso path
- Selective inference with a randomized response
- Multicarving for high-dimensional post-selection inference
- Adaptive piecewise polynomial estimation via trend filtering
- Pathwise coordinate optimization
- Valid Inference Corrected for Outlier Removal
- $\ell_1$ Trend Filtering
- Asymptotic post-selection inference for the Akaike information criterion
- Sparsity and Smoothness Via the Fused Lasso
- Post‐selection point and interval estimation of signal sizes in Gaussian samples
- Multiple Change-Point Estimation With a Total Variation Penalty
- A Modified Bayes Information Criterion with Applications to the Analysis of Comparative Genomic Hybridization Data
- Post‐selection inference for changepoint detection algorithms with application to copy number variation data
This page was built for publication: More Powerful Selective Inference for the Graph Fused Lasso