Estimating and forecasting partially linear models with non stationary exogeneous variables

Mathematics – Statistics Theory

Scientific paper

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Scientific paper

This paper presents a backfitting-type method for estimating and forecasting
a periodically correlated partially linear model with exogeneous variables and
heteroskedastic input noise. A rate of convergence of the estimator is given.
The results are valid even if the period is unknown.

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