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High Dimensional Bayesian Regularization in Regressions Involving Symmetric Tensors

This article develops a regression framework with a symmetric tensor response and vector predictors. The existing literature involving symmetric tensor response and vector predictors proceeds by vectorizing the tensor response to a multivariate vector, thus ignoring the structural information in the...

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Detalhes bibliográficos
Publicado no:Information Processing and Management of Uncertainty in Knowledge-Based Systems
Autor principal: Guhaniyogi, Rajarshi
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7274680/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-50153-2_26
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