ArticleJournal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America2018
Tensor-on-tensor regression.
Article in Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed.
- Decomposing the modulation of interactions between neuronal populations.bioRxiv : the preprint server for biology · 2026Article
- Bayesian estimation of covariate assisted principal regression for brain functional connectivity.Biostatistics (Oxford, England) · 2025Article
- Efficient Decision Trees for Tensor Regressions.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2025Article
- Low-Rank Tensor Encoding Models Decompose Natural Speech Comprehension Processes.bioRxiv : the preprint server for biology · 2025Article
- Bayesian Tensor Modeling for Image-based Classification of Alzheimer's Disease.Neuroinformatics · 2024Article
- TENSOR REGRESSION FOR INCOMPLETE OBSERVATIONS WITH APPLICATION TO LONGITUDINAL STUDIES.The annals of applied statistics · 2024Article
- A tensor based varying-coefficient model for multi-modal neuroimaging data analysis.IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society · 2024Article
- Bayesian tensor-on-tensor regression with efficient computation.Statistics and its interface · 2024Article
- Imputed mean tensor regression for near-sited spatial temporal data.Journal of applied statistics · 2024Article
- Tensor response quantile regression with neuroimaging data.Biometrics · 2023Article
- Multiway sparse distance weighted discrimination.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2023Article
- Kimesurface Representation and Tensor Linear Modeling of Longitudinal Data.Neural computing & applications · 2022Article
- Bayesian nonparametric multiway regression for clustered binomial data.Stat (International Statistical Institute) · 2021Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
We propose a framework for the linear prediction of a multi-way array (i.e., a tensor) from another multi-way array of arbitrary dimension, using the contracted tensor product. This framework generalizes several existing approaches, including methods to predict a scalar outcome from a tensor, a matrix from a matrix, or a tensor from a scalar. We describe an approach that exploits the multiway structure of both the predictors and the outcomes by restricting the coefficients to have reduced CP-rank. We propose a general and efficient algorithm for penalized least-squares estimation, which allows for a ridge (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.