Robust inference in time series analysis is concerned with developing statistical methods that remain valid under departures from standard model assumptions, such as the presence of heteroskedasticity ...
“Current automated STD methods perform well under controlled conditions but degrade sharply in low SNR or with unseen targets, while standalone BCI systems suffer from high false alarm rates. To ...
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