Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.

Based is an efficient architecture inspired by recovering attention-like capabilities (i.e., recall). We do so by combining 2 simple ideas: Short sliding window attention (e.g., window size 64), to ...

Abstract: This letter presents a new robust data-driven predictive control scheme for linear time-varying (LTV) systems with unknown nominal system models. To tackle the challenges arising from the ...

Abstract: This paper proposes eco-control optimization with consideration of the physics model informed by data-model to emphasize the maritime carbon emissions reduction problem. More specifically, ...

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We study linear regressions in a context where the outcome of interest and some of the covariates are observed in two different datasets that cannot be matched. Traditional approaches obtain point ...