Most of the asymptotic results for Markov regime-switching models with possible unit roots are based on specifications implying that the number of regime switches grows to infinity as the sample size ...
Autoregressive models are a statistical technique used to predict future values in a sequence based on its past values. It is essentially a fancy way of saying that it uses the past to predict the ...
Model Selection Under Nonstationarity: Autoregressive Models and Stochastic Linear Regression Models
We give sufficient conditions for strong consistency of estimators for the order of general nonstationary autoregressive models based on the minimization of an ...
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