ArticleJournal of machine learning research : JMLR2018
A Two-Stage Penalized Least Squares Method for Constructing Large Systems of Structural Equations.
Article in Journal of machine learning research : JMLR, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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Who cites it
17 citing papers in PubMed.
- From correlation to causation: cell-type-specific gene regulatory networks in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- From Correlation to Causation: Cell-Type-Specific Gene Regulatory Networks in Alzheimer's Disease.bioRxiv : the preprint server for biology · 2025Article
- Transcriptome-wide root causal inference.PLoS computational biology · 2025Article
- Transcriptome-Wide Root Causal Inference.medRxiv : the preprint server for health sciences · 2024Article
- Article
- Nonlinear causal discovery with confounders.Journal of the American Statistical Association · 2024Article
- Discovery and inference of a causal network with hidden confounding.Journal of the American Statistical Association · 2024Article
- Inference of causal metabolite networks in the presence of invalid instrumental variables with GWAS summary data.Genetic epidemiology · 2023Article
- Inferring a directed acyclic graph of phenotypes from GWAS summary statistics.bioRxiv : the preprint server for biology · 2023Article
- SIGNET: transcriptome-wide causal inference for gene regulatory networks.Scientific reports · 2023Article
- SIGNET: Transcriptome-wide Causal Inference for Gene Regulatory Networks.Research square · 2023Article
- Estimating causal effects with hidden confounding using instrumental variables and environments.Electronic journal of statistics · 2023Article
- Analysis of Variance of Multiple Causal Networks.Advances in neural information processing systems · 2023Article
- Bayesian differential analysis of gene regulatory networks exploiting genetic perturbations.BMC bioinformatics · 2020Article
- Inferring Gene Regulatory Networks from a Population of Yeast Segregants.Scientific reports · 2019Article
- Differential Analysis of Directed Networks.Uncertainty in artificial intelligence : proceedings of the ... conference. Conference on Uncertainty in Artificial Intelligence · 2018Article
- Inference for a Large Directed Acyclic Graph with Unspecified Interventions.Journal of machine learning research : JMLRArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
We propose a two-stage penalized least squares method to build large systems of structural equations based on the instrumental variables view of the classical two-stage least squares method. We show that, with large numbers of endogenous and exogenous variables, the system can be constructed via consistent estimation of a set of conditional expectations at the first stage, and consistent selection of regulatory effects at the second stage. While the consistent estimation at the first stage can be obtained via the ridge regression, the adaptive lasso is employed at the second stage to achieve the consistent selection. This method is computationally fast and allows for parallel implementation. We demonstrate its effectiveness via simulation studies and real data analysis.
Indexed as
Identifiers
42239607PMC13229399What OpenQuestion holds
Registered trials
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.