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Local Linear Forecasts Using Cubic Smoothing Splines
| Content Provider | Semantic Scholar |
|---|---|
| Author | Hyndman, Rob J. King, Maxwell L. Pitrun, Ivet Billah, Baki |
| Copyright Year | 2004 |
| Abstract | We show how cubic smoothing splines fitted to univariate time series data can be used to obtain local linear forecasts. Our approach is based on a stochastic state space model which allows the use of a likelihood approach for estimating the smoothing parameter, and which enables easy construction of prediction intervals. We show that our model is a special case of an ARIMA(0,2,2) model and we provide a simple upper bound for the smoothing parameter to ensure an invertible model. We also show that the spline model is not a special case of Holt’s local linear trend method. Finally we compare the spline forecasts with Holt’s forecasts and those obtained from the full ARIMA(0,2,2) model, showing that the restricted parameter space does not impair forecast performance. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://robjhyndman.com/papers/splinefcast.pdf |
| Alternate Webpage(s) | http://www.buseco.monash.edu.au/ebs/pubs/wpapers/2002/wp10-02.pdf |
| Alternate Webpage(s) | http://www.robjhyndman.com/papers/splinefcast.pdf |
| Alternate Webpage(s) | http://www-personal.buseco.monash.edu.au/~hyndman/papers/splinefcast.pdf |
| Alternate Webpage(s) | http://www.monash.edu/business/econometrics-and-business-statistics/research/publications/ebs/local_linear_forecasts_using_cubic_smoothing_splines.pdf |
| Alternate Webpage(s) | https://robjhyndman.com/papers/splinefcast.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Cubic function Estimated Population Parameter Projections and Predictions Seizures Smoothing (statistical technique) Smoothing spline State-space representation Time series |
| Content Type | Text |
| Resource Type | Article |
