Group Symmetric Robust Covariance Estimation
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[1] Markus Rupp,et al. Analysis of LMS and NLMS algorithms with delayed coefficient update under the presence of spherically invariant processes , 1994, IEEE Trans. Signal Process..
[2] J. H. Steiger. Tests for comparing elements of a correlation matrix. , 1980 .
[3] Olivier Besson,et al. Knowledge-Aided Covariance Matrix Estimation and Adaptive Detection in Compound-Gaussian Noise , 2010, IEEE Transactions on Signal Processing.
[4] Ali Abdi,et al. Expected number of maxima in the envelope of a spherically invariant random process , 2003, IEEE Trans. Inf. Theory.
[5] Alexandre d'Aspremont,et al. Model Selection Through Sparse Max Likelihood Estimation Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data , 2022 .
[6] Ami Wiesel,et al. Multivariate Generalized Gaussian Distribution: Convexity and Graphical Models , 2013, IEEE Transactions on Signal Processing.
[7] Ami Wiesel,et al. Gaussian graphical models for proper quaternion distributions , 2013, 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).
[8] Visa Koivunen,et al. Robust antenna array processing using M-estimators of pseudo-covariance , 2003, 14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003..
[9] O. Reynolds. On the dynamical theory of incompressible viscous fluids and the determination of the criterion , 1995, Proceedings of the Royal Society of London. Series A: Mathematical and Physical Sciences.
[10] Ami Wiesel,et al. Tyler's Covariance Matrix Estimator in Elliptical Models With Convex Structure , 2014, IEEE Transactions on Signal Processing.
[11] Regularized covariance estimation in scaled Gaussian models , 2011, 2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).
[12] Yuri I. Abramovich,et al. Diagonally Loaded Normalised Sample Matrix Inversion (LNSMI) for Outlier-Resistant Adaptive Filtering , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.
[13] Alfred O. Hero,et al. Robust Shrinkage Estimation of High-Dimensional Covariance Matrices , 2010, IEEE Transactions on Signal Processing.
[14] Giuseppe Ricci,et al. Performance prediction in compound-Gaussian clutter , 1994 .
[15] A. Farina,et al. Radar detection in coherent Weibull clutter , 1987, IEEE Trans. Acoust. Speech Signal Process..
[16] Joseph A. O'Sullivan,et al. The use of maximum likelihood estimation for forming images of diffuse radar targets from delay-Doppler data , 1989, IEEE Trans. Inf. Theory.
[17] C. Curtis,et al. Representation theory of finite groups and associated algebras , 1962 .
[18] Matthew R. McKay,et al. Statistical Linkage Analysis of Substitutions in Patient-Derived Sequences of Genotype 1a Hepatitis C Virus Nonstructural Protein 3 Exposes Targets for Immunogen Design , 2014, Journal of Virology.
[19] Gabriel Frahm,et al. Tyler's M-Estimator, Random Matrix Theory, and Generalized Elliptical Distributions with Applications to Finance , 2008 .
[20] J. Bouchaud,et al. RANDOM MATRIX THEORY AND FINANCIAL CORRELATIONS , 2000 .
[21] Teng Zhang. Robust subspace recovery by geodesically convex optimization , 2012, 1206.1386.
[22] SHAUN TAN,et al. REPRESENTATION THEORY FOR FINITE GROUPS , 2014 .
[23] Philippe Forster,et al. Covariance Structure Maximum-Likelihood Estimates in Compound Gaussian Noise: Existence and Algorithm Analysis , 2008, IEEE Transactions on Signal Processing.
[24] R. Maronna. Robust $M$-Estimators of Multivariate Location and Scatter , 1976 .
[25] Daniel R. Fuhrmann,et al. Application of Toeplitz covariance estimation to adaptive beamforming and detection , 1991, IEEE Trans. Signal Process..
[26] On the Distributions of Norms of Spherical Distributions , 2008 .
[27] Todd M. Allen,et al. Coordinate linkage of HIV evolution reveals regions of immunological vulnerability , 2011, Proceedings of the National Academy of Sciences.
[28] H. Vincent Poor,et al. Complex Elliptically Symmetric Distributions: Survey, New Results and Applications , 2012, IEEE Transactions on Signal Processing.
[29] M. K. Simon,et al. Unified theory on wireless communication fading statistics based on SIRP , 2004, IEEE 5th Workshop on Signal Processing Advances in Wireless Communications, 2004..
[30] J. Billingsley,et al. Ground Clutter Measurements for Surface-Sited Radar , 1993 .
[31] R. Tibshirani,et al. Sparse inverse covariance estimation with the graphical lasso. , 2008, Biostatistics.
[32] Frederick R. Forst,et al. On robust estimation of the location parameter , 1980 .
[33] Colin L. Mallows,et al. Embedding nonnegative definite Toeplitz matrices in nonnegative definite circulant matrices, with application to covariance estimation , 1989, IEEE Trans. Inf. Theory.
[34] Ami Wiesel,et al. Performance Analysis of Tyler's Covariance Estimator , 2014, IEEE Transactions on Signal Processing.
[35] Xueliang Li,et al. Eigenvalues of a special kind of symmetric block circulant matrices , 2004 .
[36] Andrew T. Walden,et al. Testing for Quaternion Propriety , 2011, IEEE Transactions on Signal Processing.
[37] Jian Li,et al. SPICE: A Sparse Covariance-Based Estimation Method for Array Processing , 2011, IEEE Transactions on Signal Processing.
[38] K. Strimmer,et al. Statistical Applications in Genetics and Molecular Biology A Shrinkage Approach to Large-Scale Covariance Matrix Estimation and Implications for Functional Genomics , 2011 .
[39] Harrison H. Zhou,et al. Optimal rates of convergence for estimating Toeplitz covariance matrices , 2013 .
[40] Ami Wiesel,et al. Geodesic Convexity and Covariance Estimation , 2012, IEEE Transactions on Signal Processing.
[41] Gabriel Frahm. Generalized Elliptical Distributions: Theory and Applications , 2004 .
[42] Philippe Forster,et al. Persymmetric Adaptive Radar Detectors , 2011, IEEE Transactions on Aerospace and Electronic Systems.
[43] David E. Tyler. A Distribution-Free $M$-Estimator of Multivariate Scatter , 1987 .
[44] Jacques Lévy Véhel,et al. CAPM, Risk and Portfolio Selection in «Stable» Markets , 2000 .
[45] T. Rapcsák. Geodesic convexity in nonlinear optimization , 1991 .
[46] Ami Wiesel,et al. Time Varying Autoregressive Moving Average Models for Covariance Estimation , 2013, IEEE Transactions on Signal Processing.
[47] Nicolas Le Bihan,et al. Quaternion-MUSIC for vector-sensor array processing , 2006, IEEE Transactions on Signal Processing.
[48] P. Bickel,et al. Regularized estimation of large covariance matrices , 2008, 0803.1909.
[49] V. V. Yurinskii. Exponential inequalities for sums of random vectors , 1976 .
[50] Olivier Ledoit,et al. Improved estimation of the covariance matrix of stock returns with an application to portfolio selection , 2003 .
[51] K. Murota,et al. A numerical algorithm for block-diagonal decomposition of matrix *-algebras with general irreducible components , 2010 .
[52] Antonio De Maio. Maximum likelihood estimation of structured persymmetric covariance matrices , 2003, Signal Process..
[53] Fulvio Gini,et al. Cramér-Rao Lower Bounds on Covariance Matrix Estimation for Complex Elliptically Symmetric Distributions , 2013, IEEE Transactions on Signal Processing.
[54] F. Gini. Sub-optimum coherent radar detection in a mixture of K-distributed and Gaussian clutter , 1997 .
[55] Ami Wiesel,et al. Unified Framework to Regularized Covariance Estimation in Scaled Gaussian Models , 2012, IEEE Transactions on Signal Processing.
[56] Yuri I. Abramovich,et al. Time-Varying Autoregressive (TVAR) Models for Multiple Radar Observations , 2007, IEEE Transactions on Signal Processing.
[57] D. Pollock,et al. Circulant matrices and time-series analysis , 2000 .
[58] Phillipp Meister,et al. Statistical Signal Processing Detection Estimation And Time Series Analysis , 2016 .
[59] Simon Watts,et al. Radar detection prediction in sea clutter using the compound K-distribution model , 1985 .
[60] David E. Tyler. Statistical analysis for the angular central Gaussian distribution on the sphere , 1987 .
[61] Parikshit Shah,et al. Group symmetry and covariance regularization , 2011, 2012 46th Annual Conference on Information Sciences and Systems (CISS).