Cross-lagged panel analysis is an analytical strategy used to describe reciprocal relationships, or directional influences, between variables over time. Cross-lagged panel models (CLPM), also referred to as cross-lagged path models and cross-lagged regression models, are estimated using panel data, or longitudinal data where each observation or person is recorded at multiple points in time. The...

We consider a regression scenario where it is natural to impose an order constraint on the coefficients. We propose an order-constrained version of `1-regularized regression (lasso) for this problem, and show how to solve it efficiently using the well-known Pool Adjacent Violators Algorithm as its proximal operator. The main application of this idea is to time-lagged regression, where we predic...

System identification for nonlinear differential and difference equations has lagged far behind the linear case, due to the greater complexity of the task. Takens’ Theorem [1,10] of 25 years ago opened a new avenue of investigation, introducing geometric methods that were essential for nonlinear problems. The ramifications of this result have unfolded in an area that has become known as attract...

Cross-lagged latent difference score (LDS) models complement cross-lagged regression models, but are better suited to detecting differences in intrapersonal change and examining the relation between changes in different variables across time. In this article we present cross-lagged LDS models as a method for conceptualizing and measuring change in two-wave dyadic data. The statistical analysis ...

new statistic based models provide a wide area of prediction equipments for different science areas. among these fields biology have just entered the contest of interdisciplinary sciences. drug discovery is a long and expensive process which could be decreased with theoretical approaches. in this study, 500 reported assayed anti cancer molecules were extracted from science direct articles, sket...