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A Prediction-Error Covariance Estimator for Adaptive Kalman Filtering in Step-Varying Processes: Application to Power-System State Estimation

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A Prediction-Error Covariance Estimator for Adaptive Kalman Filtering in Step-Varying Processes: Application to Power-System State Estimation

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Chattez avec Graph Search

A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set

TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression

Linear Recursive State Estimation of Hybrid and Unbalanced AC/DC Micro-Grids using Synchronized Measurements

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Linear Recursive State Estimation of Hybrid and Unbalanced AC/DC Micro-Grids using Synchronized Measurements

Sparsely Observed Functional Time Series: Theory and Applications

Euclid : Effects of sample covariance on the number counts of galaxy clusters

Parameter Estimation of Three-Phase Untransposed Short Transmission Lines from Synchrophasor Measurements

Mutual Information and Optimality of Approximate Message-Passing in Random Linear Estimation

Bayesian Monte Carlo assimilation for the PETALE experimental programme using inter-dosimeter correlation

A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set

TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression

Sparsely Observed Functional Time Series: Theory and Applications

Positive Definite Completions and Continuous Graphical Models

Parameter Estimation of Three-Phase Untransposed Short Transmission Lines from Synchrophasor Measurements

Mutual Information and Optimality of Approximate Message-Passing in Random Linear Estimation

Euclid : Effects of sample covariance on the number counts of galaxy clusters

Linear Recursive State Estimation of Hybrid and Unbalanced AC/DC Micro-Grids using Synchronized Measurements

Linear Recursive State Estimation of Hybrid and Unbalanced AC/DC Micro-Grids using Synchronized Measurements

Bayesian Monte Carlo assimilation for the PETALE experimental programme using inter-dosimeter correlation