Combining Forecasting and Dynamic Server Switching
Forecasting with dimension switching VARs
... VAR forecasting when the researcher is uncertain about which variables enter the VAR and the dimension of the VAR may be changing over ...in forecasting N of ...the dynamic model averaging literature ...
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Forecasting with dimension switching VARs
... VAR forecasting when the researcher is uncertain about which variables enter the VAR and the dimension of the VAR may be changing over ...in forecasting N ∗ of ...the dynamic model averaging ...
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Forecasting the Turns of German Business Cycle: Dynamic Bi-factor Model with Markov Switching
... 3 Estimation and evaluation K. A. Kholodilin order must be higher than zero; on the other hand, due to the short sample the lag order cannot be too high. Therefore both the common and idiosyn- cratic factors are ...
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Estimating and forecasting the yield curve using a Markov Switching Dynamic Nelson and Siegel Model
... 1 Introduction Recent developments in the modeling of government bond yields assume that a handful of pos- sibly unobserved factors determine the evolution of the entire yield curve. Broadly speaking, the literature on ...
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Forecasting for dynamic line rating
... consumers). Switching to a DLR operation mode requires installing new equipment for conductor monitoring and adopting new technologies for ambient conditions ...
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Dynamic Model of Forecasting Stock Prices
... that forecasting volatility only using GARCH method still has relatively high errors, so, they conducted the extended method to predict the volatility by combining GARCH Model and Artificial Neural Networks ...
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OpenFlow based dynamic load balanced switching
... How does Open Flow work? In a classical router or switch, the fast packet forwarding (data path) and the high level routing decisions (control path) occur on the same device. An OpenFlow Switch separates these two ...
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Dynamic Switching State Systems for Visual Tracking
... that forecasting errors are in general higher when the speed of persons is lower and argued that when persons are walking slowly, their be- havior becomes less predictable, due to physical reasons (less ...
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Combining benchmarking and chain-linking for short-term regional forecasting
... using dynamic factor models, should provide a complete description of the state of the business cycle at the regional ...a dynamic extension of the van der Ploeg (1982) ...
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Half Century of Gold Price: Regime-Switching and Forecasting Framework
... Markov switching models are a well-studied family of models in probability theory imposing time-varying parameters in different periods of time, known as state or regime-specific ...improved forecasting of ...
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Forecasting with a forward-looking DGE model: combining long-run views of financial markets with macro forecasting
... in order to make sure that the parameter µ does not affect the steady state solution of the model (see Appendix 3 for the algebra). If the core macro part of the model is purely forward-looking, ie if it builds on the ...
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Forecasting Inflation Using Dynamic Model Averaging
... To understand the source and nature of these problems, consider how the researcher might complete the model given in (3). Some speci…cation for how predictors enter/leave the model in real time is required. A simple way ...
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Construction industry forecasting system dynamic model
... i.e., switching to the second ...of forecasting the surplus would be eliminated, real needs are formed, which will reach their highest point till the 12th year of forecasting and then will ...
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Forecasting market returns: bagging or combining?
... original forecasting problem, applying a pretest model selection rule to each of the resamples, and averaging the forecasts from the models selected by the pretest on each bootstrap ...for forecasting ...
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A Combining Forecasting Modeling and Its Application
... combination forecasting method can highly improve the demand forecasting accuracy of collaborative forecasting activity in the retail supply ...planning, forecasting and replenishment ...
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Combining participatory influenza surveillance with modeling and forecasting
... FNY was conceived to capture flu activity in a population group that may not necessarily seek medical attention, while CDC’s ILINet was designed to monitor the percentage of the population seeking medical attention with ...
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Combining Time Series and Multiple Forecasting Models
... 6. Conclusions In this paper we have investigated the idea of com- bining forecasts using different time aggregations. The rationale for this idea is that different time scales will capture different dynamics, and ...
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Regime Switching and Artificial Neural Network Forecasting
... regime switching within a univariate Markov-Switching ...Markov Switching model and the Artificial Neural Network ...in forecasting accuracy and forecasting encompassing and therefore ...
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Server-Based Dynamic Server Selection Algorithms
... Our server-based approach to the problem of server selection has the follow- ing salient ...the server load and network congestion status of paths between servers and clients, we can employ ...
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A Dynamic Elimination-Combining Stack Algorithm
... blocking and nonblocking) best known stack algorithms for all workload types, providing throughput that is significantly superior to that of both the elimination- backoff stack and the flat-combining stack for ...
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