Panels of nonlinear time series data are increasingly collected in scientific studies, and a fundamental problem is to study the common dynamic structures of such data. We propose a new model for ...

MANSKI, C. F. (1984): "Adaptive Estimation of Non-Linear Regression Models," Econometric Reviews, 3, 145-194. Crossref NEWEY, W. K (1989): "Locally Efficient, Residual-Based Estimation of Nonlinear ...

Save the equation from the multivariate parameter model. An example of the inflection point model is in Equation 1. [Eq. 1] Step six. Substitute the growth rate (slope) and inflection point ...

Linear and non-linear credit scoring by combining logistic regression and support ... Standard linear logistic models are very easily readable but have limited model flexibility. Advanced neural ...

Advantages and Disadvantages of Multivariate Modeling . The advantage of multivariate modeling is that it provides more detailed “what if” scenarios for decision-makers to consider.