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

The lectures on this page should be watched before the live sessions on Monday, June 13, 2022 (Tuesday, June 14 in some time zones). Total viewing time for this lecture series is 2 hours 16 minutes.

We develop a predictive Bayesian approach to variable selection in the multivariate linear model. A criterion derived from the Bayesian predictive density is proposed and a calibration is provided for ...

Monitoring the manufacturing process becomes a challenging task with a huge number of variables in traditional multivariate statistical process control (MSPC) methods. However, the rich information is ...

Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variable under consideration. Multivariate analysis techniques may be used for several ...

MANOVA is a statistical test that extends the scope of the more commonly used ANOVA, that allows differences between three or more independent groups of explanatory (independent or predictor) ...

Editor's Note: InTech with Automation.com is planning a survey of readers' input about how they would like to see multivariable control move forward. Please email your feedback or proposed survey ...

Micro-aggregation is a clustering problem with minimum size constraints on the resulting clusters or groups; the number of groups is unconstrained and the within-group homogeneity should be maximized.