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

In multivariate recurrent event data regression, observation of recurrent events is usually terminated by other events that are associated with the recurrent event processes, resulting in informative ...

April 12, 2007 Robust statistical analysis methods capable of dealing with large complex data sets are required more than ever before in almost all branches of science. The European Science Foundation ...

Brain images developed by Anders Dale representing the average over thousands of brains from the Adolescent Brain Cognitive Development (ABCD) study database. A group ...

Evolutionary biology is multivariate, and advances in phylogenetic comparative methods for multivariate phenotypes have surged to accommodate this fact. Evolutionary trends in multivariate phenotypes ...