ArticleJournal of the American Statistical Association2020
Adaptive Huber Regression.
Article in Journal of the American Statistical Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed.
- Robust Distribution-Free Tests for the Linear Model.Statistics in medicine · 2026Article
- Voxelwise correlation of neighbors as a hypothesis driven framework for characterizing white matter lesion heterogeneity.Scientific reports · 2026Article
- Distributed robust estimation and inference with contaminated data.Electronic journal of statistics · 2026Article
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- Article
- DA-IRRK: Data-Adaptive Iteratively Reweighted Robust Kernel-Based Approach for Back-End Optimization in Visual SLAM.Sensors (Basel, Switzerland) · 2025Article
- Predictive assessment of eating disorder risk and recovery: Uncovering the effectiveness of questionnaires and influencing characteristics.Computational and structural biotechnology journal · 2025Article
- Robust convex biclustering with a tuning-free method.Journal of applied statistics · 2025Article
- Robust analyzes for longitudinal clinical trials with missing and non-normal continuous outcomes.Statistical theory and related fields · 2024Article
- Are Latent Factor Regression and Sparse Regression Adequate?Journal of the American Statistical Association · 2024Article
- Sparse Reduced Rank Huber Regression in High Dimensions.Journal of the American Statistical Association · 2023Article
- Adaptive Huber Regression on Markov-dependent Data.Stochastic processes and their applications · 2022Article
- A SHRINKAGE PRINCIPLE FOR HEAVY-TAILED DATA: HIGH-DIMENSIONAL ROBUST LOW-RANK MATRIX RECOVERY.Annals of statistics · 2021Article
- Investigation of Data Size Variability in Wind Speed Prediction Using AI Algorithms.Cybernetics and systems · 2021Article
- Meta-Analyzing Multiple Omics Data With Robust Variable Selection.Frontiers in genetics · 2021Article
- FarmTest: Factor-adjusted robust multiple testing with approximate false discovery control.Journal of the American Statistical Association · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Big data can easily be contaminated by outliers or contain variables with heavy-tailed distributions, which makes many conventional methods inadequate. To address this challenge, we propose the adaptive Huber regression for robust estimation and inference. The key observation is that the robustification parameter should adapt to the sample size, dimension and moments for optimal tradeoff between bias and robustness. Our theoretical framework deals with heavy-tailed distributions with bounded (1 +
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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.