Introduces PEMS W and two CorSW discrepancies on full-rank correlation matrices to improve domain generalization in EEG decoding under distribution shifts.
Econometrica , volume =
2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
Matrix-HAR model with multi-horizon lags and renewable generation inputs improves one-week forecasts of realized covariation and spread risk premia versus standard backward-looking volatility methods in electricity markets.
citing papers explorer
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A Sliced-Wasserstein Framework on Correlation Matrices for EEG Decoding
Introduces PEMS W and two CorSW discrepancies on full-rank correlation matrices to improve domain generalization in EEG decoding under distribution shifts.
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Forecasting of volatility and risk premia in electricity markets
Matrix-HAR model with multi-horizon lags and renewable generation inputs improves one-week forecasts of realized covariation and spread risk premia versus standard backward-looking volatility methods in electricity markets.