International audienceThis paper addresses structured covariance matrix estimation under t-distribution. Covariance matrices frequently reveal a particular structure due to the considered application and taking into account this structure usually improves estimation accuracy. In the framework of robust estimation, the t-distribution is particularly suited to describe heavy-tailed observation. In this context, we propose an efficient estimation procedure for covariance matrices with convex structure under t-distribution. Numerical examples for Hermitian Toeplitz structure corroborate the theoretical analysis
We consider robust covariance estimation with an emphasis on Tyler\u27s M-estimator. This method pro...
International audienceThis paper addresses robust estimation of structured shape (normalized covaria...
International audienceThis paper addresses robust estimation of structured shape (normalized covaria...
International audienceThis paper addresses structured covariance matrix estimation under t-distribut...
International audienceThis paper addresses structured covariance matrix estimation under t-distribut...
International audienceThis paper addresses structured covariance matrix estimation under t-distribut...
International audienceThis paper addresses structured scatter matrix estimation within the non conve...
International audienceThis paper addresses structured scatter matrix estimation within the non conve...
International audienceThis paper addresses structured scatter matrix estimation within the non conve...
International audienceThis paper addresses structured scatter matrix estimation within the non conve...
International audienceThis paper deals with structured covariance matrix estimation in a robust stat...
International audienceThis paper deals with structured covariance matrix estimation in a robust stat...
International audienceThis paper deals with structured covariance matrix estimation in a robust stat...
We consider robust covariance estimation with an emphasis on Tyler\u27s M-estimator. This method pro...
We consider robust covariance estimation with an emphasis on Tyler\u27s M-estimator. This method pro...
We consider robust covariance estimation with an emphasis on Tyler\u27s M-estimator. This method pro...
International audienceThis paper addresses robust estimation of structured shape (normalized covaria...
International audienceThis paper addresses robust estimation of structured shape (normalized covaria...
International audienceThis paper addresses structured covariance matrix estimation under t-distribut...
International audienceThis paper addresses structured covariance matrix estimation under t-distribut...
International audienceThis paper addresses structured covariance matrix estimation under t-distribut...
International audienceThis paper addresses structured scatter matrix estimation within the non conve...
International audienceThis paper addresses structured scatter matrix estimation within the non conve...
International audienceThis paper addresses structured scatter matrix estimation within the non conve...
International audienceThis paper addresses structured scatter matrix estimation within the non conve...
International audienceThis paper deals with structured covariance matrix estimation in a robust stat...
International audienceThis paper deals with structured covariance matrix estimation in a robust stat...
International audienceThis paper deals with structured covariance matrix estimation in a robust stat...
We consider robust covariance estimation with an emphasis on Tyler\u27s M-estimator. This method pro...
We consider robust covariance estimation with an emphasis on Tyler\u27s M-estimator. This method pro...
We consider robust covariance estimation with an emphasis on Tyler\u27s M-estimator. This method pro...
International audienceThis paper addresses robust estimation of structured shape (normalized covaria...
International audienceThis paper addresses robust estimation of structured shape (normalized covaria...