High-dimensional integrative analysis with homogeneity and sparsity recovery
From MaRDI portal
Publication:2008216
DOI10.1016/j.jmva.2019.06.007zbMath1428.62243OpenAlexW2955835000WikidataQ127551292 ScholiaQ127551292MaRDI QIDQ2008216
Jian Huang, Xinfeng Yang, Xiaodong Yan
Publication date: 22 November 2019
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2019.06.007
Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Ridge regression; shrinkage estimators (Lasso) (62J07) Generalized linear models (logistic models) (62J12)
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Cites Work
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- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- Nearly unbiased variable selection under minimax concave penalty
- A partially linear framework for massive heterogeneous data
- \(\ell_{1}\)-penalization for mixture regression models
- Statistical estimation in varying coefficient models
- Homogeneity detection for the high-dimensional generalized linear model
- Distributed inference for quantile regression processes
- A nonconvex model with minimax concave penalty for image restoration
- Shrinkage Tuning Parameter Selection with a Diverging number of Parameters
- An Accelerated Divide-and-Conquer Algorithm for the Bidiagonal SVD Problem
- Forward Regression for Ultra-High Dimensional Variable Screening
- A split-and-conquer approach for analysis of
- Grouped Patterns of Heterogeneity in Panel Data
- A Scalable Bootstrap for Massive Data
- Nonconcave Penalized Likelihood With NP-Dimensionality
- Simultaneous Grouping Pursuit and Feature Selection Over an Undirected Graph
- Inference for Subgroup Analysis With a Structured Logistic-Normal Mixture Model
- The Lasso for High Dimensional Regression with a Possible Change Point
- Augmented Lagrangian alternating direction method for matrix separation based on low-rank factorization
