A New Look at Models For Exponential Smoothing

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Stochastic models underlying Croston ’ s method for intermittent demand forecasting 2 February 2005 (2005, background): “Chatfield et al. (2001) summarizes a general class of state space models for which SES provides optimal forecasts.”
EXPONENTIAL SMOOTHING: THE STATE OF THE ART, PART II (2006, unknown): “As Koehler et al. (2001) and Hyndman et al. (2002) observed, their state-space models are not unique and many other such models could be formulated.”
Real-Time Density Forecasts From Bayesian Vector Autoregressions With Stochastic Volatility (2011, background): “In general, exponential smoothing also is known to be effective for trend estimation and forecasting (Makridakis and Hibon 2000; Chatfield et al. 2001).”
25 years of time series forecasting (2006, background): “Satchell & Timmermann (1995) and Chatfield et al. (2001) showed that SES is optimal for a wide range of data generating processes.”
25 Years of IIF Time Series Forecasting: A Selective Review (2005, background): “Satchell & Timmermann (1995) and Chatfield et al. (2001) showed that SES is optimal for a wide range of data generating processes.”