@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]} } @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} } @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} } @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} } @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} } @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} } @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}, } @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} } @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} } @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{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}, } @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} } @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} }