Julia implementation for a family of 'classical' estimation approach of multi-variate time series model. Current applications includes vector autoregressive (VAR(p)) model and its relative estimation ...

COVID-19 severity can be predicted by a model with 5 variables: respiratory rate, systolic blood pressure, plasma albumin, LDH, and CRP.

Soccer’s ruling body FIFA is expected to receive special dispensation to give VAR officials increased authority at next year’s World Cup, including the power to intervene on corner kick decisions, ...

Abstract: In conventional process monitoring, a latent variable model (LVM) is first learned in offline training and the statistics related to extracted latent features and residuals are then used for ...

Evan Williams is an automotive journalist and mechanical engineering technologist with more than a decade of experience in the industry. He has written for the Toronto Star and AutoTrader Canada and ...

We propose a new approach called DeepTVAR that employs deep learning methodology for vector autoregressive (VAR) modeling and prediction with time-varying parameters. A Long Short-Term Memory (LSTM) ...

Abstract: A residual deep reinforcement learning (RDRL) based on an approximate-model-driven optimization approach is proposed for inverter-based volt-var control (IB-VVC) in active distribution ...