A Distributed and Integrated Method of Moments for High-Dimensional Correlated Data Analysis
From MaRDI portal
Publication:4999158
DOI10.1080/01621459.2020.1736082zbMath1464.62437arXiv1910.02986OpenAlexW3103401422MaRDI QIDQ4999158
Peter X.-K. Song, Emily C. Hector
Publication date: 6 July 2021
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1910.02986
generalized method of momentsparallel computingcomposite likelihooddivide-and-conquerscalable computing
Applications of statistics to biology and medical sciences; meta analysis (62P10) Distributed algorithms (68W15)
Related Items (5)
A discussion on “A selective review of statistical methods using calibration information from similar studies” ⋮ Joint integrative analysis of multiple data sources with correlated vector outcomes ⋮ CEDAR: Communication Efficient Distributed Analysis for Regressions ⋮ Meta Clustering for Collaborative Learning ⋮ Parallel-and-stream accelerator for computationally fast supervised learning
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Large Sample Properties of Generalized Method of Moments Estimators
- Longitudinal data analysis using generalized linear models
- Improving generalised estimating equations using quadratic inference functions
- Aggregated estimating equation estimation
- A note on improving quadratic inference functions using a linear shrinkage approach
- Empirical likelihood estimation and consistent tests with conditional moment restrictions
- Regression models for discrete longitudinal responses. With comments and a rejoinder by the authors
- Efficient network meta-analysis: a confidence distribution approach
- Combining information from independent sources through confidence distributions
- A pairwise likelihood approach to analyzing correlated binary data
- Correlated data analysis: modeling, analytics, and applications
- Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates
- Quadratic inference function approach to merging longitudinal studies: validation and joint estimation
- Model diagnostic tests for selecting informative correlation structure in correlated data
- Dependence Modeling with Copulas
- A split-and-conquer approach for analysis of
- A composite likelihood approach to computer model calibration with high-dimensional spatial data
- A note on pseudolikelihood constructed from marginal densities
- Fixed Rank Kriging for Very Large Spatial Data Sets
- Gaussian Predictive Process Models for Large Spatial Data Sets
- Newton-Raphson and EM Algorithms for Linear Mixed-Effects Models for Repeated-Measures Data
- A Composite Likelihood Approach to Binary Spatial Data
- Maximum Likelihood Computations with Repeated Measures: Application of the EM Algorithm
- On the use of a working correlation matrix in using generalised linear models for repeated measures
- Estimating Space and Space-Time Covariance Functions for Large Data Sets: A Weighted Composite Likelihood Approach
- Joint mean-covariance models with applications to longitudinal data: unconstrained parameterisation
- Confidence Distribution, the Frequentist Distribution Estimator of a Parameter: A Review
- Meta-Analysis With Fixed, Unknown, Study-Specific Parameters
- Confidence Distributions and a Unifying Framework for Meta-Analysis
- Fused lasso with the adaptation of parameter ordering in combining multiple studies with repeated measurements
- Multivariate Meta-Analysis of Heterogeneous Studies Using Only Summary Statistics: Efficiency and Robustness
- Fast Moment-Based Estimation for Hierarchical Models
- Regression analysis of networked data
- Efficient Semiparametric Estimation via Moment Restrictions
- Distributed Matrix Completion and Robust Factorization
- Joint Composite Estimating Functions in Spatiotemporal Models
This page was built for publication: A Distributed and Integrated Method of Moments for High-Dimensional Correlated Data Analysis
