Fang Yao, Hans-Georg Müller, Jane-Ling Wang, Functional Linear Regression Analysis for Longitudinal Data, The Annals of Statistics, Vol. 33, No. 6 (Dec., 2005), pp ...

Principal component analysis (PCA) is an important tool for dimension reduction in multivariate analysis. Regularized PCA methods, such as sparse PCA and functional PCA, have been developed to ...

Figure 5 Grade Based Coverage analysis flow Coverage grading is an option used to rank the test cases based on the number of functional coverage points hit by the individual test case. Grading option ...

Bayesian networks Functional safety practitioners will be familiar with fault trees and event trees. What might be new to many are Bayesian networks, a simple example of which is shown in figure 5.

Don’t miss our workshop, "Introducing Beacon Discovery: Bringing Live Single-Cell Multi-Parameter Functional Analysis to Every Lab," on April 27th at 3:30 PM CST.