Approximate Bayesian Algorithm for Tensor Robust Principal Component Analysis

DOI10.1007/978-3-031-16427-9_1OpenAlexW4312739113MaRDI QIDQ6130503

Unnamed Author

Publication date: 3 April 2024

Published in: Springer Proceedings in Mathematics & Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-031-16427-9_1

zbMATH Keywords

approximate Bayesian computationvariational Bayestensor completionlow-rankregression adjustmenttensor robust PCA

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Bayesian problems; characterization of Bayes procedures (62C10) Empirical decision procedures; empirical Bayes procedures (62C12)

Cites Work

• A comparative review of dimension reduction methods in approximate Bayesian computation
• Factorization strategies for third-order tensors
• Estimation of Parameters for Macroparasite Population Evolution Using Approximate Bayesian Computation
• Robust principal component analysis?
• Simulated Moments Estimation of Markov Models of Asset Prices
• Sparse Bayesian Methods for Low-Rank Matrix Estimation
• Estimating Functions in Indirect Inference
• Approximate Bayesian Computation: A Nonparametric Perspective
• Unnamed Item

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