Regression and Time Series Model Selection

Abstract

Introduction to model selection the univariate regression model the univariate autoregressive model the multivariate regression model the vector autoregressive model the cross-validation and bootstrap robust and quasi-likelihood model selections non-parametric regressions and wavelets simulations and case studies.