Some searches may not work properly. We apologize for the inconvenience.
My bibliography Save this articleReducing the Dimensionality of SPD Matrices with Neural Networks in BCI
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Ledoit, Olivier & Wolf, Michael, 2004.
"A well-conditioned estimator for large-dimensional covariance matrices,"
Journal of Multivariate Analysis, Elsevier, vol. 88(2), pages 365-411, February.
- Ledoit, Olivier & Wolf, Michael, 2000. "A well conditioned estimator for large dimensional covariance matrices," DES - Working Papers. Statistics and Econometrics. WS 10087, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Branislav Popović & Marko Janev & Lidija Krstanović & Nikola Simić & Vlado Delić, 2022. "Measure of Similarity between GMMs Based on Geometry-Aware Dimensionality Reduction," Mathematics, MDPI, vol. 11(1), pages 1-22, December.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Ze Shi & Hongyi Li & Di Zhao & Chengwei Pan, 2023. "Research on Relation Classification Tasks Based on Cybersecurity Text," Mathematics, MDPI, vol. 11(12), pages 1-16, June.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Hannart, Alexis & Naveau, Philippe, 2014. "Estimating high dimensional covariance matrices: A new look at the Gaussian conjugate framework," Journal of Multivariate Analysis, Elsevier, vol. 131(C), pages 149-162.
- Candelon, B. & Hurlin, C. & Tokpavi, S., 2012.
"Sampling error and double shrinkage estimation of minimum variance portfolios,"
Journal of Empirical Finance, Elsevier, vol. 19(4), pages 511-527.
- Candelon, B. & Hurlin, C. & Tokpavi, S., 2011. "Sampling error and double shrinkage estimation of minimum variance portfolios," Research Memorandum 002, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
- Bertrand Candelon & Christophe Hurlin & Sessi Tokpavi, 2012. "Sampling Error and Double Shrinkage Estimation of Minimum Variance Portfolios," Post-Print hal-01385835, HAL.
- Avagyan, Vahe & Alonso Fernández, Andrés Modesto & Nogales, Francisco J., 2015. "D-trace Precision Matrix Estimation Using Adaptive Lasso Penalties," DES - Working Papers. Statistics and Econometrics. WS 21775, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Mishra, Anil V., 2016.
"Foreign bias in Australian-domiciled mutual fund holdings,"
Pacific-Basin Finance Journal, Elsevier, vol. 39(C), pages 101-123.
- Mishra, Anil V, 2015. "Foreign Bias in Australian Domiciled Mutual Fund Holdings," MPRA Paper 63376, University Library of Munich, Germany.
- McDowell, Shaun, 2018. "An empirical evaluation of estimation error reduction strategies applied to international diversification," Journal of Multinational Financial Management, Elsevier, vol. 44(C), pages 1-13.
- Olivier Ledoit & Michael Wolf, 2003.
"Honey, I shrunk the sample covariance matrix,"
Economics Working Papers
691, Department of Economics and Business, Universitat Pompeu Fabra.
- Olivier Ledoit & Michael Wolf, 2003. "Honey, I Shrunk the Sample Covariance Matrix," Working Papers 92, Barcelona School of Economics.
- Konno, Yoshihiko, 2009. "Shrinkage estimators for large covariance matrices in multivariate real and complex normal distributions under an invariant quadratic loss," Journal of Multivariate Analysis, Elsevier, vol. 100(10), pages 2237-2253, November.
- Yuan, Ke-Hai & Chan, Wai, 2008. "Structural equation modeling with near singular covariance matrices," Computational Statistics & Data Analysis, Elsevier, vol. 52(10), pages 4842-4858, June.
- Jian Zhang & Li Su, 2015. "Temporal Autocorrelation-Based Beamforming With MEG Neuroimaging Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1375-1388, December.
- MohammadAmin Fazli & Parsa Alian & Ali Owfi & Erfan Loghmani, 2021. "RPS: Portfolio Asset Selection using Graph based Representation Learning," Papers 2111.15634, arXiv.org.
- Hafner, Christian M. & Linton, Oliver B. & Tang, Haihan, 2020.
"Estimation of a multiplicative correlation structure in the large dimensional case,"
Journal of Econometrics, Elsevier, vol. 217(2), pages 431-470.
- Hafner, C. & Linton, O. & Tang, H., 2018. "Estimation of a Multiplicative Correlation Structure in the Large Dimensional Case," Cambridge Working Papers in Economics 1878, Faculty of Economics, University of Cambridge.
- Hafner, Christian & Linton, Oliver & Tang, Haihan, 2020. "Estimation of a multiplicative correlation structure in the large dimensional case," LIDAM Reprints ISBA 2020028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Pesaran, M. Hashem & Yamagata, Takashi, 2012.
"Testing CAPM with a Large Number of Assets,"
IZA Discussion Papers
6469, Institute of Labor Economics (IZA).
- M Hashem Pesaran & Takashi Yamagata, 2012. "Testing CAPM with a Large Number of Assets," Discussion Papers 12/05, Department of Economics, University of York.
- Füss, Roland & Miebs, Felix & Trübenbach, Fabian, 2014. "A jackknife-type estimator for portfolio revision," Journal of Banking & Finance, Elsevier, vol. 43(C), pages 14-28.
- Christian Bongiorno, 2020. "Bootstraps Regularize Singular Correlation Matrices," Working Papers hal-02536278, HAL.
- Lassance, Nathan & Vrins, Frédéric, 2021.
"Portfolio selection with parsimonious higher comoments estimation,"
Journal of Banking & Finance, Elsevier, vol. 126(C).
- Lassance, Nathan & Vrins, Frédéric, 2021. "Portfolio selection with parsimonious higher comoments estimation," LIDAM Reprints LFIN 2021005, Université catholique de Louvain, Louvain Finance (LFIN).
- Kozak, Serhiy & Nagel, Stefan & Santosh, Shrihari, 2020.
"Shrinking the cross-section,"
Journal of Financial Economics, Elsevier, vol. 135(2), pages 271-292.
- Serhiy Kozak & Stefan Nagel & Shrihari Santosh, 2017. "Shrinking the Cross Section," NBER Working Papers 24070, National Bureau of Economic Research, Inc.
- Nagel, Stefan & Santosh, Shrihari & Kozak, Serhiy, 2017. "Shrinking the Cross Section," CEPR Discussion Papers 12463, C.E.P.R. Discussion Papers.
- Wessel N. van Wieringen & Carel F. W. Peeters & Renee X. de Menezes & Mark A. van de Wiel, 2018. "Testing for pathway (in)activation by using Gaussian graphical models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 67(5), pages 1419-1436, November.
- Tae-Hwy Lee & Ekaterina Seregina, 2024.
"Optimal Portfolio Using Factor Graphical Lasso,"
Journal of Financial Econometrics, Oxford University Press, vol. 22(3), pages 670-695.
- Tae-Hwy Lee & Ekaterina Seregina, 2020. "Optimal Portfolio Using Factor Graphical Lasso," Papers 2011.00435, arXiv.org, revised Apr 2023.
- Tae-Hwy Lee & Ekaterina Seregina, 2023. "Optimal Portfolio Using Factor Graphical Lasso," Working Papers 202302, University of California at Riverside, Department of Economics.
- Tae-Hwy Lee & Ekaterina Seregina, 2020. "Optimal Portfolio Using Factor Graphical Lasso," Working Papers 202025, University of California at Riverside, Department of Economics.
- Arbia, Giuseppe & Bramante, Riccardo & Facchinetti, Silvia & Zappa, Diego, 2018. "Modeling inter-country spatial financial interactions with Graphical Lasso: An application to sovereign co-risk evaluation," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 72-79.
- Ding, Hui & Zhang, Jian & Zhang, Riquan, 2022. "Nonparametric variable screening for multivariate additive models," Journal of Multivariate Analysis, Elsevier, vol. 192(C).
More about this item
Keywords
brain–computer interface; Riemannian geometry; SPD manifolds; non-linear dimensionality reduction; neural networks;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:11:y:2023:i:7:p:1570-:d:1105567. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.