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To cite 'fitHeavyTail' in publications, please use:
Palomar DP, Zhou R, Wang X, Pascal F, Ollila E (2023). fitHeavyTail: Mean and Covariance Matrix Estimation under Heavy Tails. R package version 0.2.0, https://CRAN.R-project.org/package=fitHeavyTail.
Sun Y, Babu P, Palomar DP (2014). “Regularized Tyler’s scatter estimator: Existence, uniqueness, and algorithms.” IEEE Transactions on Signal Processing, 62(19), 5143–5156. https://doi.org/10.1109/TSP.2014.2348944.
Sun Y, Babu P, Palomar DP (2015). “Regularized robust estimation of mean and covariance matrix under heavy-tailed distributions.” IEEE Transactions on Signal Processing, 63(12), 3096–3109. https://doi.org/10.1109/TSP.2015.2417513.
Ollila E, Palomar DP, Pascal F (2021). “Shrinking the Eigenvalues of M-estimators of Covariance Matrix.” IEEE Transactions on Signal Processing, 69, 256–269. https://doi.org/10.1109/TSP.2020.3043952.
Corresponding BibTeX entries:
@Manual{, title = {{fitHeavyTail: Mean and Covariance Matrix Estimation under Heavy Tails}}, author = {D. P. Palomar and R. Zhou and X. Wang and F. Pascal and E. Ollila}, note = {R package version 0.2.0}, year = {2023}, url = {https://CRAN.R-project.org/package=fitHeavyTail}, }
@Article{, title = {Regularized Tyler’s scatter estimator: Existence, uniqueness, and algorithms}, author = {Y. Sun and P. Babu and D. P. Palomar}, journal = {IEEE Transactions on Signal Processing}, volume = {62}, number = {19}, pages = {5143--5156}, year = {2014}, url = {https://doi.org/10.1109/TSP.2014.2348944}, }
@Article{, title = {Regularized robust estimation of mean and covariance matrix under heavy-tailed distributions}, author = {Y. Sun and P. Babu and D. P. Palomar}, journal = {IEEE Transactions on Signal Processing}, volume = {63}, number = {12}, pages = {3096--3109}, year = {2015}, url = {https://doi.org/10.1109/TSP.2015.2417513}, }
@Article{, title = {Shrinking the Eigenvalues of M-estimators of Covariance Matrix}, author = {E. Ollila and D. P. Palomar and F. Pascal}, journal = {IEEE Transactions on Signal Processing}, volume = {69}, pages = {256--269}, year = {2021}, url = {https://doi.org/10.1109/TSP.2020.3043952}, }
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