Revisiting Multivariate Time Series Forecasting with Missing Values
NeutralArtificial Intelligence
The article discusses the challenges of multivariate time series forecasting when dealing with missing values. It highlights the importance of developing reliable prediction methods and critiques the current imputation-then-prediction framework, which may not fully address the complexities of missing data.
— Curated by the World Pulse Now AI Editorial System






