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Uncertainty of the design and covariance matrices in linear statistical model

Unrestricted, restricted, and regularized models for forecasting multivariate volatility

Covariance Matrix Enhancement Approach to Train Robust Gaussian Mixture Models of Speech Data

Nonparametric bootstrap for estimating variability of robust regression estimators

Random Fields Simplified: Preserving Marginal Distributions, Correlations, and Intermittency, With Applications From Rainfall to Humidity

The Error Estimation and Ambiguity of Solution of 2-D Time Difference of Arrival Localization Method

Radar Position Estimation by Sequential Irradiation of ESM Receivers

Uncertainty of communication signals measurement

Transformation problem with different accuracy of measured data

Lower Bounds In Estimation Fusion With Partial Knowledge of Correlations