We develop a new targeted maximum likelihood estimation method that provides improved forecasting for misspecified …-validation procedure. In a set of Monte Carlo experiments we reveal that the estimation method can significantly improve the forecasting … accuracy of autoregressive models. In an empirical study concerned with forecasting the U.S. Industrial Production, we show …

This paper discusses identification, specification, estimation and forecasting for a general class of periodic … formulations are introduced for exact maximum likelihood estimation, component estimation and forecasting. Identification issues …

extraction includes bootstrap procedures for the computation of confidence intervals and real-time procedures for the forecasting …

, forecasting and interpretation. However, in some settings the linear-additive framework may be too restrictive. In this paper, we …