Main effects and interactions in mixed and incomplete data frames

DOI10.48550/arXiv.1806.09734zbMath1441.62145arXiv1806.09734OpenAlexW2963603703WikidataQ127804282 ScholiaQ127804282MaRDI QIDQ146484

Geneviève Robin, Éric Moulines, Olga Klopp, Robert Tibshirani, Julie Josse, Olga Klopp, Geneviève Robin, Eric Moulines, Robert Tibshirani, Julie Josse

Publication date: 26 June 2018

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1806.09734

zbMATH Keywords

low-rank matrix completionmissing valuesheterogeneous data

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Statistical aspects of big data and data science (62R07)

Related Items

Matrix completion under complex survey sampling ⋮ Generalized Low-Rank Plus Sparse Tensor Estimation by Fast Riemannian Optimization ⋮ Imputation and low-rank estimation with missing not at random data ⋮ mimi ⋮ An adaptation for iterative structured matrix completion

Uses Software

• R
• missMDA
• glmnet
• MICE
• softImpute
• LowRankModels
• Pyglrm

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares
• Statistics for high-dimensional data. Methods, theory and applications.
• Modeling item-item similarities for personalized recommendations on Yahoo! front page
• Robust matrix completion
• Adaptive multinomial matrix completion
• A coordinate gradient descent method for nonsmooth separable minimization
• Simple structure in component analysis techniques for mixtures of qualitative and quantitative variables
• Flexible low-rank statistical modeling with missing data and side information
• Generalized Low Rank Models
• A Max-Norm Constrained Minimization Approach to 1-Bit Matrix Completion
• Robust principal component analysis?
• Rank-Sparsity Incoherence for Matrix Decomposition
• Imputation of Mixed Data With Multilevel Singular Value Decomposition
• Literature survey on low rank approximation of matrices
• Poisson Matrix Recovery and Completion
• Multiple Factor Analysis by Example Using R
• Matrix Completion With Covariate Information
• Robust Matrix Decomposition With Sparse Corruptions
• Recovery of Low-Rank Plus Compressed Sparse Matrices With Application to Unveiling Traffic Anomalies