111 search results - page 13 / 23 » Integration of multi-time-scale models in time series foreca... |
CSDA
2010
13 years 7 months ago
2010
The Gaussian kernel density estimator is known to have substantial problems for bounded random variables with high density at the boundaries. For i.i.d. data several solutions hav...
AMC
2005
13 years 7 months ago
2005
ARIMA is a popular method to analyze stationary univariate time series data. There are usually three main stages to build an ARIMA model, including model identification, model est...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
Single and multi-step time-series predictors were evolved for forecasting minimum bidding prices in a simulated supply chain management scenario. Evolved programs were allowed to ...
SAC
2009
ACM
14 years 2 months ago
2009
ACM
Detecting bursts in data streams is an important and challenging task. Due to the complexity of this task, usually burst detection cannot be formulated using standard query operat...
CSSC
2010
13 years 7 months ago
2010
Testing the fractionally integrated order of seasonal and non-seasonal unit roots is quite important for the economic and financial time series modelling. In this paper, Robinson ...