1057 lines
36 KiB
BibTeX
1057 lines
36 KiB
BibTeX
@book{AbadirMagnus2005,
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author = {Abadir, Karim M. and Magnus, Jan R.},
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year = {2005},
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title = {Matrix algebra},
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volume = {1},
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pages = {xxx+434},
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publisher = {Cambridge University Press, Cambridge},
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doi = {10.1017/CBO9780511810800},
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url = {https://doi.org/10.1017/CBO9780511810800},
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isbn = {978-0-521-53746-9},
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mrclass = {15-01 (91B02)},
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mrnumber = {2408356},
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series = {Econometric Exercises}
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}
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@book{AbsilEtAl2007,
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author = {Absil, P.-A. and Mahony, R. and Sepulchre, R.},
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year = {2008},
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title = {{Optimization Algorithms on Matrix Manifolds}},
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pages = {xvi+224},
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publisher = {Princeton University Press, Princeton, NJ},
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doi = {10.1515/9781400830244},
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isbn = {978-0-691-13298-3},
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mrclass = {90-02 (58E17 90C30 90C52)},
|
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mrnumber = {2364186},
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note = {Full Online Text \url{https://press.princeton.edu/absil}}
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}
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@book{Arnold1981,
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author = {Arnold, Steven F.},
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year = {1981},
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title = {The theory of linear models and multivariate analysis},
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pages = {xvi+475},
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publisher = {John Wiley \& Sons, Inc., New York},
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isbn = {0-471-05065-2},
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mrclass = {62-01 (62J05)},
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mrnumber = {606011},
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mrreviewer = {Pi-Erh\ Lin},
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series = {Wiley Series in Probability and Mathematical Statistics}
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}
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@article{BasserPajevic2007,
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author = {Peter J. Basser and Sinisa Pajevic},
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year = {2007},
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title = {Spectral decomposition of a 4th-order covariance tensor: Applications to diffusion tensor MRI},
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journal = {Signal Processing},
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volume = {87},
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number = {2},
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pages = {220-236},
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issn = {0165-1684},
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doi = {10.1016/j.sigpro.2006.02.050},
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note = {Tensor Signal Processing}
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}
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@article{Besag1974,
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author = {Besag, Julian},
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year = {1974},
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title = {Spatial Interaction and the Statistical Analysis of Lattice Systems},
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journal = {Journal of the Royal Statistical Society: Series B (Methodological)},
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volume = {36},
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number = {2},
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pages = {192-225},
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doi = {10.1111/j.2517-6161.1974.tb00999.x}
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}
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@article{BuraDuarteForzani2016,
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author = {Efstathia Bura and Sabrina Duarte and Liliana Forzani},
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year = {2016},
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title = {Sufficient Reductions in Regressions With Exponential Family Inverse Predictors},
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journal = {J. Amer. Statist. Assoc.},
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volume = {111},
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number = {515},
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pages = {1313--1329},
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publisher = {Taylor \& Francis},
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doi = {10.1080/01621459.2015.1093944},
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fjournal = {Journal of the American Statistical Association}
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}
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@article{BuraEtAl2018,
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author = {Bura, Efstathia and Duarte, Sabrina and Forzani, Liliana and E. Smucler and M. Sued},
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year = {2018},
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title = {Asymptotic theory for maximum likelihood estimates in reduced-rank multivariate generalized linear models},
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journal = {Statistics},
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volume = {52},
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number = {5},
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pages = {1005--1024},
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publisher = {Taylor \& Francis},
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doi = {10.1080/02331888.2018.1467420},
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fjournal = {Statistics. A Journal of Theoretical and Applied Statistics}
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}
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@article{BuraEtAl2022,
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author = {Bura, Efstathia and Forzani, Liliana and Garc\'{i}a Arancibia, Rodrigo and Llop, Pamela and Tomassi, Diego},
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year = {2022},
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title = {Sufficient reductions in regression with mixed predictors},
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journal = {J. Mach. Learn. Res.},
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volume = {23},
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number = {102},
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pages = {1--47},
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issn = {1532-4435,1533-7928},
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url = {http://jmlr.org/papers/v23/21-0175.html},
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fjournal = {Journal of Machine Learning Research (JMLR)},
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|
mrclass = {62H12 (62H22 62H25 62J02 65C20)},
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mrnumber = {4576687}
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}
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@article{Burdick1995,
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author = {Donald S. Burdick},
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year = {1995},
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title = {An introduction to tensor products with applications to multiway data analysis},
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journal = {Chemometrics and Intelligent Laboratory Systems},
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volume = {28},
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number = {2},
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pages = {229-237},
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issn = {0169-7439},
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doi = {10.1016/0169-7439(95)80060-M}
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}
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@article{Bury2013,
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author = {Thomas Bury},
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year = {2013},
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title = {Market structure explained by pairwise interactions},
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journal = {Physica A: Statistical Mechanics and its Applications},
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volume = {392},
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number = {6},
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pages = {1375-1385},
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issn = {0378-4371},
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doi = {10.1016/j.physa.2012.10.046}
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}
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@article{Chaddadetal2023,
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title={Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques},
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author={Ahmad Chaddad and Yihang Wu and Reem Kateb and Ahmed Bouridane},
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journal={Sensors (Basel, Switzerland)},
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year={2023},
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volume={23},
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url={https://api.semanticscholar.org/CorpusID:259969401}
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}
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@article{ChakrabortyEtAl2022,
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author = {Anirban Chakraborty and Matthias Katzfuss and Joseph Guinness},
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year = {2022},
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title = {Ordered conditional approximation of Potts models},
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journal = {Spatial Statistics},
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volume = {52},
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pages = {100708},
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issn = {2211--6753},
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doi = {10.1016/j.spasta.2022.100708}
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}
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@article{ChenEtAl2021,
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author = {Chen, You-Lin and Kolar, Mladen and Tsay, Ruey S.},
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year = {2021},
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title = {Tensor Canonical Correlation Analysis With Convergence and Statistical Guarantees},
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journal = {Journal of Computational and Graphical Statistics},
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volume = {30},
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number = {3},
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pages = {728--744},
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doi = {10.1080/10618600.2020.1856118}
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}
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@article{ChengEtAl2014,
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author = {Cheng, Jie and Levina, Elizaveta and Wang, Pei and Zhu, Ji},
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year = {2014},
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title = {A sparse Ising model with covariates},
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journal = {Biometrics},
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volume = {70},
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number = {4},
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pages = {943-953},
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doi = {10.1111/biom.12202}
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}
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@inproceedings{Comon2009,
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author = {Comon, Pierre},
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year = {2009},
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title = {Tensors versus matrices usefulness and unexpected properties},
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volume = {},
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number = {},
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pages = {781-788},
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doi = {10.1109/SSP.2009.5278471},
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booktitle = {2009 IEEE/SP 15th Workshop on Statistical Signal Processing}
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}
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@book{Cook1998,
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author = {Cook, R. Dennis},
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year = {1998},
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title = {Regression graphics},
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pages = {xviii+349},
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publisher = {John Wiley \& Sons, Inc., New York},
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doi = {10.1002/9780470316931},
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url = {https://doi.org/10.1002/9780470316931},
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isbn = {0-471-19365-8},
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|
mrclass = {62-01 (62J05)},
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|
mrnumber = {1645673},
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|
mrreviewer = {Jon\ Stene},
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|
note = {Ideas for studying regressions through graphics, A Wiley-Interscience Publication},
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series = {Wiley Series in Probability and Statistics: Probability and Statistics}
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}
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@article{Cook2007,
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|
author = {Cook, R. Dennis},
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year = {2007},
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title = {{Fisher Lecture: Dimension Reduction in Regression}},
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journal = {Statistical Science},
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volume = {22},
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number = {1},
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pages = {1--26},
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publisher = {The Institute of Mathematical Statistics},
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doi = {10.1214/088342306000000682},
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month = {02}
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}
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@article{CookLiChiaromonte2010,
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author = {R. Dennis Cook and Bing Li and Francesca Chiaromonte},
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year = {2010},
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title = {Envelope Models for Parsimonious and Efficient Multivariate Linear Regression},
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journal = {Statistica Sinica},
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volume = {20},
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number = {3},
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|
pages = {927--960},
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|
publisher = {Institute of Statistical Science, Academia Sinica},
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|
issn = {10170405, 19968507},
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|
url = {http://www.jstor.org/stable/24309466},
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|
urldate = {2024-03-29}
|
|
}
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@article{Coppi1994,
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title = {An introduction to multiway data and their analysis},
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journal = {Computational Statistics \& Data Analysis},
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volume = {18},
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number = {1},
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pages = {3-13},
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year = {1994},
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issn = {0167-9473},
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doi = {10.1016/0167-9473(94)90130-9},
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url = {https://www.sciencedirect.com/science/article/pii/0167947394901309},
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|
author = {Renato Coppi},
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|
keywords = {Multiway analysis, Multilinear models, Three-way arrays},
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abstract = {This paper provides a presentation of the main types of multiway data and the most known methods proposed in the literature. General guidelines are provided concerning the various aspects of statistical information conveyed by different data arrays or sets and the methods of data analysis enabling the researcher to extract this information. The description of the techniques focuses on the different methodological approaches in order to enable the reader to find out links among the methods. Hopefully, this introduction may act as a reference system when utilising a multiway approach to the analysis of statistical data.}
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}
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@article{CoxWermuth1994,
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author = {Cox, D. R. and Wermuth, Nanny},
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year = {1994},
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title = {A note on the quadratic exponential binary distribution},
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journal = {Biometrika},
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volume = {81},
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number = {2},
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pages = {403--408},
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issn = {0006-3444,1464-3510},
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doi = {10.1093/biomet/81.2.403},
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url = {https://doi.org/10.1093/biomet/81.2.403},
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fjournal = {Biometrika},
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mrclass = {62E15},
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mrnumber = {1294901}
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|
}
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@article{DaiDingWahba2013,
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author = {Dai, Bin and Ding, Shilin and Wahba, Grace},
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year = {2013},
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title = {Multivariate {B}ernoulli distribution},
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journal = {Bernoulli},
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volume = {19},
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number = {4},
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pages = {1465--1483},
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issn = {1350-7265,1573-9759},
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doi = {10.3150/12-BEJSP10},
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fjournal = {Bernoulli. Official Journal of the Bernoulli Society for Mathematical Statistics and Probability},
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mrclass = {62E15 (60E05 62G05 62H10 62H12 62J12)},
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mrnumber = {3102559}
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}
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@article{Dawid1981,
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author = {A. P. Dawid},
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year = {1981},
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title = {Some Matrix-Variate Distribution Theory: Notational Considerations and a Bayesian Application},
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journal = {Biometrika},
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volume = {68},
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number = {1},
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pages = {265--274},
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publisher = {[Oxford University Press, Biometrika Trust]},
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issn = {00063444},
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|
url = {http://www.jstor.org/stable/2335827},
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urldate = {2024-01-12}
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|
}
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@article{DeAlmeidaEtAl2007,
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author = {André L.F. {de Almeida} and Gérard Favier and João Cesar M. Mota},
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year = {2007},
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title = {PARAFAC-based unified tensor modeling for wireless communication systems with application to blind multiuser equalization},
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journal = {Signal Processing},
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volume = {87},
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number = {2},
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pages = {337--351},
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issn = {0165-1684},
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doi = {https://doi.org/10.1016/j.sigpro.2005.12.014},
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note = {Tensor Signal Processing}
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|
}
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@article{DeLathauwerCastaing2007,
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author = {Lieven {De Lathauwer} and Joséphine Castaing},
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year = {2007},
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title = {Tensor-based techniques for the blind separation of DS-CDMA signals},
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journal = {Signal Processing},
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volume = {87},
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number = {2},
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pages = {322--336},
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issn = {0165-1684},
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doi = {10.1016/j.sigpro.2005.12.015},
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note = {Tensor Signal Processing}
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|
}
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@article{DingCook2014,
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author = {Ding, Shanshan and Cook, R. Dennis},
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title = {Dimension folding {PCA} and {PFC} for matrix-valued predictors},
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year = {2014},
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journal = {Statistica Sinica},
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volume = {24},
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number = {1},
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pages = {463--492},
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doi = {10.5705/ss.2012.138},
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source = {Scopus}
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}
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@article{DingCook2015,
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author = {Shanshan Ding and R. Dennis Cook},
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year = {2015},
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title = {Tensor sliced inverse regression},
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journal = {Journal of Multivariate Analysis},
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volume = {133},
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pages = {216-231},
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issn = {0047-259X},
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doi = {10.1016/j.jmva.2014.08.015}
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}
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@article{DrtonEtAl2020,
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author = {Drton, Mathias and Kuriki, Satoshi and Hoff, Peter},
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year = {2021},
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title = {Existence and uniqueness of the {K}ronecker covariance {MLE}},
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journal = {Ann. Statist.},
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volume = {49},
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number = {5},
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pages = {2721--2754},
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issn = {0090-5364,2168-8966},
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doi = {10.1214/21-aos2052},
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url = {https://doi.org/10.1214/21-aos2052},
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fjournal = {The Annals of Statistics},
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mrclass = {62H12 (62R01)},
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mrnumber = {4338381},
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mrreviewer = {Burcu\ H.\ Ucer}
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}
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@article{DrydenEtAl2009,
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author = {Ian L. Dryden and Alexey Koloydenko and Diwei Zhou},
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year = {2009},
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title = {{Non-Euclidean statistics for covariance matrices, with applications to diffusion tensor imaging}},
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journal = {The Annals of Applied Statistics},
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volume = {3},
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number = {3},
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pages = {1102--1123},
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publisher = {Institute of Mathematical Statistics},
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}
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@article{Dutilleul1999,
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author = {Pierre Dutilleul},
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year = {1999},
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title = {The mle algorithm for the matrix normal distribution},
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journal = {Journal of Statistical Computation and Simulation},
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volume = {64},
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number = {2},
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pages = {105-123},
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publisher = {Taylor & Francis},
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doi = {10.1080/00949659908811970}
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}
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@inproceedings{FischerIgel2012,
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author = {Fischer, Asja and Igel, Christian},
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year = {2012},
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title = {An Introduction to Restricted Boltzmann Machines},
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pages = {14--36},
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publisher = {Springer Berlin Heidelberg},
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address = {Berlin, Heidelberg},
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booktitle = {Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications},
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editor = {Alvarez, Luis and Mejail, Marta and Gomez, Luis and Jacobo, Julio},
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isbn = {978-3-642-33275-3}
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}
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@article{GirkaEtAl2024,
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author = {Fabien Girka and Arnaud Gloaguen and Laurent {Le Brusquet} and Violetta Zujovic and Arthur Tenenhaus},
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year = {2024},
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title = {Tensor generalized canonical correlation analysis},
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journal = {Information Fusion},
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volume = {102},
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issn = {1566-2535},
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doi = {10.1016/j.inffus.2023.102045}
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}
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@book{GoodfellowEtAl2016,
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author = {Ian Goodfellow and Yoshua Bengio and Aaron Courville},
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year = {2016},
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title = {Deep Learning},
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publisher = {MIT Press},
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url = {http://www.deeplearningbook.org}
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|
}
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@article{GreenewaldHero2014,
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author = {Kristjan H. Greenewald and Alfred O. Hero},
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year = {2014},
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title = {Robust Kronecker Product PCA for Spatio-Temporal Covariance Estimation},
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journal = {IEEE Transactions on Signal Processing},
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volume = {63},
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pages = {6368-6378},
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url = {https://api.semanticscholar.org/CorpusID:15582097}
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|
}
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@article{HaoEtAl2021,
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author = {Botao Hao and Boxiang Wang and Pengyuan Wang and Jingfei Zhang and Jian Yang and Will Wei Sun},
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year = {2021},
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title = {Sparse Tensor Additive Regression},
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journal = {Journal of Machine Learning Research},
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volume = {22},
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number = {64},
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pages = {1--43},
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url = {http://jmlr.org/papers/v22/19-769.html}
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|
}
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|
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@book{Harville1997,
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author = {David A. Harville},
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year = {1997},
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title = {Matrix Algebra From a Statistician's Perspective},
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publisher = {Springer-Verlag},
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address = {New York},
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chapter = {15},
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edition = {1}
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|
}
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|
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@article{HillarLim2013,
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author = {Hillar, Christopher J. and Lim, Lek\-Heng},
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year = {2013},
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title = {Most Tensor Problems Are NP-Hard},
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journal = {J. ACM},
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volume = {60},
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number = {6},
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publisher = {Association for Computing Machinery},
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issn = {0004-5411},
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doi = {10.1145/2512329},
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|
address = {New York, NY, USA},
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articleno = {45},
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issue_date = {November 2013},
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numpages = {39}
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|
}
|
|
|
|
@article{Hinton2002,
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author = {Hinton, Geoffrey E.},
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year = {2002},
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title = {{Training Products of Experts by Minimizing Contrastive Divergence}},
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journal = {Neural Computation},
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volume = {14},
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number = {8},
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pages = {1771--1800},
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issn = {0899-7667},
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doi = {10.1162/089976602760128018},
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|
month = {08}
|
|
}
|
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@misc{Hinton2012,
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author = {Hinton, Geoffrey E.},
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year = {2012},
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title = {{Neural Networks for Machine Learning}},
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url = {www.cs.toronto.edu/~hinton/coursera/lecture6/lec6.pdf},
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