Showing 1 - 10 of 111
decomposing, smoothing and forecasting two-dimensional sparse data. In some ways, ROPES is similar to Ridge Regression, the LASSO … practical method of forecasting mortality rates, as well as a new method for interpolating and extrapolating sparse longitudinal …
Persistent link: https://www.econbiz.de/10010958945
forecasting. The parameter space for SSOE models may be specified to match that of the corresponding ARIMA scheme, or it may be … that underlies the Holt-Winters forecasting method. Conditionally heteroscedastic models may be developed in a similar …
Persistent link: https://www.econbiz.de/10005427626
for macroeconomic forecasting to VARs given the recent advances in VARMA modelling methodology and improvements in …
Persistent link: https://www.econbiz.de/10005087575
the other periods. Croston's method is a widely used procedure for intermittent demand forecasting. However, it is an ad …
Persistent link: https://www.econbiz.de/10005087603
assumed to be Gaussian, the resulting prediction distribution may have an infinite variance beyond a certain forecasting … approximation causes no serious problems for parameter estimation or for forecasting one or two steps ahead. However, for longer …. The performance of the Gaussian approximation is compared with those of two lognormal models for short-term forecasting …
Persistent link: https://www.econbiz.de/10005125278
In this paper, a Bayesian version of the exponential smoothing method of forecasting is proposed. The approach is based …
Persistent link: https://www.econbiz.de/10005125279
The local linear trend and global linear trend models embody extreme assumptions about trends. According to the local linear trend formulation the level and growth rate are allowed to rapidly adapt to changes in the data path. On the other hand, the Glaobal linear trend model makes no allowance...
Persistent link: https://www.econbiz.de/10005149074
A Kalman filter, suitable for application to a stationary or a non-stationary time series, is proposed. It works on time series with missing values. It can be used on seasonal time series where the associated state space model may not satisfy the traditional observability condition. A new...
Persistent link: https://www.econbiz.de/10005581117
-term forecasting and also produce sensible long-term forecasts. The forecasts are compared with the official Australian government …
Persistent link: https://www.econbiz.de/10005149064
Realized volatility of stock returns is often decomposed into two distinct components that are attributed to continuous price variation and jumps. This paper proposes a tobit multivariate factor model for the jumps coupled with a standard multivariate factor model for the continuous sample path...
Persistent link: https://www.econbiz.de/10008467332