Showing 1 - 10 of 8,587
be served by using Data Mining techniques of forecasting. With the pool of forecasting techniques available, it is … efficiently forecast CRs in QFD. The tool allows for forecasting using various data mining based time series analysis techniques … that strongly assists in doing comparative analysis and evaluating out the most apt technique for forecasting of CRs. The …
Persistent link: https://www.econbiz.de/10012043180
There are over 3 billion searches globally on Google every day. This report examines whether Google search queries can be used to predict the present and the near future unemployment rate in Finland. Predicting the present and the near future is of interest, as the official records of the state...
Persistent link: https://www.econbiz.de/10012037651
1991 was continued rapid growth for the Santa Fe Institute (SFI) as it broadened its interdisciplinary research into the organization, evolution and operation of complex systems and sought deeply the principles underlying their dynamic behavior. Research on complex systems--the focus of work at...
Persistent link: https://www.econbiz.de/10009435887
1991 was continued rapid growth for the Santa Fe Institute (SFI) as it broadened its interdisciplinary research into the organization, evolution and operation of complex systems and sought deeply the principles underlying their dynamic behavior. Research on complex systems--the focus of work at...
Persistent link: https://www.econbiz.de/10009436710
forward markets, such as hour ahead or day ahead. This paper describes several statistical forecasting models that can be … useful in hour-ahead markets. Although longer-term forecasting relies on numerical weather models, the statistical models … to develop forecasting models that can compete with commercially available models. Instead, we investigate the extent to …
Persistent link: https://www.econbiz.de/10009436850
In the existing literature, conditional forecasts in the vector autoregressive (VAR) framework have not been commonly presented with probability distributions or error bands. This paper develops Bayesian methods for computing such distributions or bands. It broadens the class of conditional...
Persistent link: https://www.econbiz.de/10010397440
Empirical research over the last decade has uncovered predictive relationships between the slope of the yield curve and subsequent real activity and inflation. Some of these relationships are highly significant, but their theoretical motivations suggest that they may not be stable over time. We...
Persistent link: https://www.econbiz.de/10010283311
There are over 3 billion searches globally on Google every day. This report examines whether Google search queries can be used to predict the present and the near future unemployment rate in Finland. Predicting the present and the near future is of interest, as the official records of the state...
Persistent link: https://www.econbiz.de/10010987124
The paper discusses a new, fully recursive approach to the adaptive modeling, forecasting and seasonal adjustment of …
Persistent link: https://www.econbiz.de/10005372789
and forecasting time series of economic functions. The underlying, continuous economic function (or "signal") is a natural … its dynamics as the cross-sectional dimension N becomes large, and can feasibly be estimated and used for forecasting when … forecasting 36-dimensional yield curves for US Treasury bonds at the one month ahead horizon. The method consistently outperforms …
Persistent link: https://www.econbiz.de/10005346105