Covers the detection and correction of parameter errors in power grids, focusing on statistical properties, error identification, computational efficiency, sensitivity analysis, and robust state estimation.
Explores quantile normalization in genomics, emphasizing data preparation, loading, filtering, and the significance of accurate gene expression analysis.
Explores Gaussian random vectors and their statistical properties, emphasizing the importance of specifying statistical properties in complex valued random vectors.
Explores classical and quantum chaos, magnetic monopoles, weak and strong coupling, and random matrix theory with a focus on Gaussian Unitary Ensemble.