tensor_predictors/LaTeX/main.bib

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2022-04-29 14:52:36 +00:00
@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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}
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@inproceedings{Nesterov1983,
title = {A method of solving a convex programming problem with convergence rate $O(1/k^2)$},
author = {Nesterov, Yurii Evgen'evich},
booktitle = {Doklady Akademii Nauk},
volume = {269},
number = {3},
pages = {543--547},
year = {1983},
organization= {Russian Academy of Sciences}
}
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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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}
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@article{SymMatandJacobians-MagnusNeudecker1986,
title = {Symmetry, 0-1 Matrices and Jacobians: A Review},
author = {Magnus, Jan R. and Neudecker, Heinz},
ISSN = {02664666, 14694360},
URL = {http://www.jstor.org/stable/3532421},
journal = {Econometric Theory},
number = {2},
pages = {157--190},
publisher = {Cambridge University Press},
urldate = {2023-10-03},
volume = {2},
year = {1986}
}
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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}
}
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@article{FisherLectures-Cook2007,
author = {Cook, R. Dennis},
journal = {Statistical Science},
month = {02},
number = {1},
pages = {1--26},
publisher = {The Institute of Mathematical Statistics},
title = {{Fisher Lecture: Dimension Reduction in Regression}},
volume = {22},
year = {2007},
doi = {10.1214/088342306000000682}
}
@article{asymptoticMLE-BuraEtAl2018,
author = {Bura, Efstathia and Duarte, Sabrina and Forzani, Liliana and E. Smucler and M. Sued},
title = {Asymptotic theory for maximum likelihood estimates in reduced-rank multivariate generalized linear models},
journal = {Statistics},
volume = {52},
number = {5},
pages = {1005-1024},
year = {2018},
publisher = {Taylor \& Francis},
doi = {10.1080/02331888.2018.1467420},
}
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@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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}
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@book{asymStats-van_der_Vaart1998,
title = {Asymptotic Statistics},
author = {{van der Vaart}, A.W.},
series = {Asymptotic Statistics},
year = {1998},
publisher = {Cambridge University Press},
series = {Cambridge Series in Statistical and Probabilistic Mathematics},
isbn = {0-521-49603-9}
}
@book{measureTheory-Kusolitsch2011,
title = {{M}a\ss{}- und {W}ahrscheinlichkeitstheorie},
subtitle = {{E}ine {E}inf{\"u}hrung},
author = {Kusolitsch, Norbert},
series = {Springer-Lehrbuch},
year = {2011},
publisher = {Springer Vienna},
isbn = {978-3-7091-0684-6},
doi = {10.1007/978-3-7091-0685-3}
}
@book{optimMatrixMani-AbsilEtAl2007,
title = {{Optimization Algorithms on Matrix Manifolds}},
author = {Absil, P.-A. and Mahony, R. and Sepulchre, R.},
year = {2007},
publisher = {Princeton University Press},
isbn = {9780691132983},
note = {Full Online Text \url{https://press.princeton.edu/absil}}
}
@Inbook{geomMethodsOnLowRankMat-Uschmajew2020,
author = {Uschmajew, Andr{\'e} and Vandereycken, Bart},
editor = {Grohs, Philipp and Holler, Martin and Weinmann, Andreas},
title = {Geometric Methods on Low-Rank Matrix and Tensor Manifolds},
bookTitle = {Handbook of Variational Methods for Nonlinear Geometric Data},
year = {2020},
publisher = {Springer International Publishing},
address = {Cham},
pages = {261--313},
isbn = {978-3-030-31351-7},
doi = {10.1007/978-3-030-31351-7_9}
}
@book{introToSmoothMani-Lee2012,
title = {Introduction to Smooth Manifolds},
author = {Lee, John M.},
year = {2012},
journal = {Graduate Texts in Mathematics},
publisher = {Springer New York},
doi = {10.1007/978-1-4419-9982-5}
}
@book{introToRiemannianMani-Lee2018,
title = {Introduction to Riemannian Manifolds},
author = {Lee, John M.},
year = {2018},
journal = {Graduate Texts in Mathematics},
publisher = {Springer International Publishing},
doi = {10.1007/978-3-319-91755-9}
}
@misc{MLEonManifolds-HajriEtAl2017,
title = {Maximum Likelihood Estimators on Manifolds},
author = {Hajri, Hatem and Said, Salem and Berthoumieu, Yannick},
year = {2017},
journal = {Lecture Notes in Computer Science},
publisher = {Springer International Publishing},
pages = {692-700},
doi = {10.1007/978-3-319-68445-1_80}
}
@article{relativity-Einstain1916,
author = {Einstein, Albert},
title = {Die Grundlage der allgemeinen Relativitätstheorie},
year = {1916},
journal = {Annalen der Physik},
volume = {354},
number = {7},
pages = {769-822},
doi = {10.1002/andp.19163540702}
}
@article{MultilinearOperators-Kolda2006,
title = {Multilinear operators for higher-order decompositions.},
author = {Kolda, Tamara Gibson},
doi = {10.2172/923081},
url = {https://www.osti.gov/biblio/923081},
place = {United States},
year = {2006},
month = {4},
type = {Technical Report}
}
@book{aufbauAnalysis-kaltenbaeck2021,
title = {Aufbau Analysis},
author = {Kaltenb\"ack, Michael},
isbn = {978-3-88538-127-3},
series = {Berliner Studienreihe zur Mathematik},
edition = {27},
year = {2021},
publisher = {Heldermann Verlag}
}