tensor_predictors/LaTeX/main.bib

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@article{RegMatrixReg-ZhouLi2014,
author = {Zhou, Hua and Li, Lexin},
title = {Regularized matrix regression},
journal = {Journal of the Royal Statistical Society. Series B (Statistical Methodology)},
volume = {76},
number = {2},
pages = {463--483},
year = {2014},
publisher = {[Royal Statistical Society, Wiley]}
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}
@book{StatInf-CasellaBerger2002,
title = {{Statistical Inference}},
author = {Casella, George and Berger, Roger L.},
isbn = {0-534-24312-6},
series = {Duxbury Advanced Series},
year = {2002},
edition = {2},
publisher = {Thomson Learning}
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}
@book{MatrixDiffCalc-MagnusNeudecker1999,
title = {Matrix Differential Calculus with Applications in Statistics and Econometrics (Revised Edition)},
author = {Magnus, Jan R. and Neudecker, Heinz},
year = {1999},
publisher = {John Wiley \& Sons Ltd},
isbn = {0-471-98632-1}
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}
@book{MatrixAlgebra-AbadirMagnus2005,
title = {Matrix Algebra},
author = {Abadir, Karim M. and Magnus, Jan R.},
year = {2005},
publisher = {Cambridge University Press},
series = {Econometric Exercises},
collection = {Econometric Exercises},
place = {Cambridge},
doi = {10.1017/CBO9780511810800}
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}
@article{TensorDecomp-HuLeeWang2022,
author = {Hu, Jiaxin and Lee, Chanwoo and Wang, Miaoyan},
title = {Generalized Tensor Decomposition With Features on Multiple Modes},
journal = {Journal of Computational and Graphical Statistics},
volume = {31},
number = {1},
pages = {204-218},
year = {2022},
publisher = {Taylor \& Francis},
doi = {10.1080/10618600.2021.1978471},
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}
@article{CovarEstSparseKron-LengPan2018,
author = {Leng, Chenlei and Pan, Guangming},
title = {{Covariance estimation via sparse Kronecker structures}},
volume = {24},
journal = {Bernoulli},
number = {4B},
publisher = {Bernoulli Society for Mathematical Statistics and Probability},
pages = {3833 -- 3863},
year = {2018},
doi = {10.3150/17-BEJ980}
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}
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@article{sdr-PfeifferKaplaBura2021,
author = {Pfeiffer, Ruth and Kapla, Daniel and Bura, Efstathia},
title = {{Least squares and maximum likelihood estimation of sufficient reductions in regressions with matrix-valued predictors}},
volume = {11},
year = {2021},
journal = {International Journal of Data Science and Analytics},
doi = {10.1007/s41060-020-00228-y}
}
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@article{sdr-BuraDuarteForzani2016,
author = {Bura, Efstathia and Duarte, Sabrina and Forzani, Liliana},
title = {Sufficient Reductions in Regressions With Exponential Family Inverse Predictors},
journal = {Journal of the American Statistical Association},
volume = {111},
number = {515},
pages = {1313-1329},
year = {2016},
publisher = {Taylor \& Francis},
doi = {10.1080/01621459.2015.1093944}
}
@article{tsir-DingCook2015,
author = {Shanshan Ding and R. Dennis Cook},
title = {Tensor sliced inverse regression},
journal = {Journal of Multivariate Analysis},
volume = {133},
pages = {216-231},
year = {2015},
issn = {0047-259X},
doi = {10.1016/j.jmva.2014.08.015}
}
@article{lsir-PfeifferForzaniBura,
author = {Pfeiffer, Ruth and Forzani, Liliana and Bura, Efstathia},
year = {2012},
month = {09},
pages = {2414-27},
title = {Sufficient dimension reduction for longitudinally measured predictors},
volume = {31},
journal = {Statistics in medicine},
doi = {10.1002/sim.4437}
}
@Inbook{ApproxKron-VanLoanPitsianis1993,
author = {Van Loan, C. F. and Pitsianis, N.},
editor = {Moonen, Marc S. and Golub, Gene H. and De Moor, Bart L. R.},
title = {Approximation with Kronecker Products},
bookTitle = {Linear Algebra for Large Scale and Real-Time Applications},
year = {1993},
publisher = {Springer Netherlands},
address = {Dordrecht},
pages = {293--314},
isbn = {978-94-015-8196-7},
doi = {10.1007/978-94-015-8196-7_17}
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}