This paper examines the estimation of derivatives from in-vehicle measures of vehicle control such as steering wheel angle. At very...
Resilience is often considered both a trait and a process. The current study proposes a new way to conceptualize resilience-as-process...
Brief summary of post contents Generalized Local Linear Approximation is a generalization of local linear approximation of derivatives (LLA, Boker...
This article proposes a new method for estimating derivatives on calculating the Empirical Bayes estimates of derivatives from a mixed...
This is an introduction to dynamical systems ideas. Dynamical systems are mathematical models of one or more constructs that change...
Using embedded and observed data matrices, a statistical approach to differential equation modeling is presented. This approach appears robust to...
Most methods in statistics are focused on the analysis of mean differences. Mean–difference questions, however, represent only a narrow range...
This essay reviews emerging trends in modeling repeated measures data. Three longitudinal models are discussed: panel model designs, growth curve...
Effective interventions may not be limited to changing means, but instead may also include changes to how variables affect each...
Mediation models based on cross-sectional data can produce unexpected estimates, so much so that making longitudinal or causal inferences is...