ArticleJournal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America2018
Algorithms for Fitting the Constrained Lasso.
Article in Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
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- Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation.The American statistician · 2024Article
- A fast solution to the lasso problem with equality constraints.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2024Article
- Trajectories of systolic blood pressure decline in kidney transplant donors prior to circulatory death and delayed graft function.Clinical kidney journal · 2023Article
- Interactions Between Donor Age and 12-Month Estimated Glomerular Filtration Rate on Allograft and Patient Outcomes After Kidney Transplantation.Transplant international : official journal of the European Society for Organ Transplantation · 2022Article
- Penalized and constrained LAD estimation in fixed and high dimension.Statistical papers (Berlin, Germany) · 2022Article
- On sparse ensemble methods: An application to short-term predictions of the evolution of COVID-19.European journal of operational research · 2021Article
- Inferring gene regulatory networks from single-cell RNA-seq temporal snapshot data requires higher-order moments.Patterns (New York, N.Y.) · 2021Article
- Tree-aggregated predictive modeling of microbiome data.Scientific reports · 2021Article
- Whole-brain tissue mapping toolkit using large-scale highly multiplexed immunofluorescence imaging and deep neural networks.Nature communications · 2021Article
- Sign-based Shrinkage Based on an Asymmetric LASSO Penalty.Journal of data science : JDS · 2021Article
- Application of a neural interface for restoration of leg movements: Intra-spinal stimulation using the brain electrical activity in spinally injured rabbits.Journal of applied biomedicine · 2020Article
- A utility approach to individualized optimal dose selection using biomarkers.Biometrical journal. Biometrische Zeitschrift · 2020Article
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Authors and funding
3 authors.
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Abstract
We compare alternative computing strategies for solving the constrained lasso problem. As its name suggests, the constrained lasso extends the widely-used lasso to handle linear constraints, which allow the user to incorporate prior information into the model. In addition to quadratic programming, we employ the alternating direction method of multipliers (ADMM) and also derive an efficient solution path algorithm. Through both simulations and benchmark data examples, we compare the different algorithms and provide practical recommendations in terms of efficiency and accuracy for various sizes of data. We also show that, for an arbitrary penalty matrix, the generalized lasso can be transformed to a constrained lasso, while the converse is not true. Thus, our methods can also be used for estimating a generalized lasso, which has wide-ranging applications. Code for implementing the algorithms is freely available in both the Matlab toolbox SparseReg and the Julia package ConstrainedLasso. Supplementary materials for this article are available online.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.