Understanding Multivariate Models: Forecasting Investment Outcomes

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...
IEEE

Partial Least Squares Regression Trees for Multivariate Response Data With Multicollinear Predictors

Abstract: Some problems arise in analyzing massive complex data consisting of multivariate response variables and a large number of multicollinear predictor variables, especially when the sample sizes ...
IEEE

AD2T: Multivariate Time-Series Anomaly Detection With Association Discrepancy Dual-Decoder Transformer

Abstract: Multivariate time-series (MTS) anomaly detection is of great importance in both condition monitoring and malfunction identification in multisensor systems. Current MTS anomaly detection ...