TSD 20: Multivariate meta-analysis of summary data for combining treatment effects on correlated outcomes and evaluating surrogate endpoints (PDF, 1.2MB) – October 2019 – Updated December 2022: ...
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 ...
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 ...
This project performs a basic multivariate GARCH modelling exercise in Python. Such approaches are available in other environments such as R, but there is yet to exist a tractable framework for ...
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