dynamic time-series forecasting
Comparative study of static and dynamic neural network models for nonlinear time series forecasting
... hypothesis. Forecasting models which have been developed for the stock prices are, in fact, a challenge against this hypothesis and attempt to show that the future trend of prices can be forecasted with an ...
18
Dynamic staged trees for discrete multivariate time series : forecasting, model selection and causal analysis
... the time it takes for events to occur by modelling only which events ...the time of the events is known, or where the time to an event is not relevant to the probability of it occurring — as with ...
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Short and Long Term Time Series Forecasting Stochastic Analysis for Slow Dynamic Processes
... The agribusiness activities are the engine where the vegetal production lies with its decision-making built-in [1]. In Argentina, the activity’s profit is subjected to a good production plan which in turn is subjected to ...
14
A Feedback-oriented Data Delay Modeling in a Dynamic Neural Network for Time Series Forecasting
... This time series has been famous for a pseudo-period of 11 years, which is collected from the annual activities of the dark spot visible from the face perspective of the sun (Figure ...in forecasting ...
10
Essays on economic time series forecasting
... Economic forecasting is usually understood as producing estimates about the expected future development of some variable of interest using information that is currently ...a forecasting model may be based ...
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Nonparametric Risk Bounds for Time-Series Forecasting
... traditional time-series forecasting ...standard forecasting tools including autoregressive models, moving average models, and, more generally, linear state-space ...financial ...
40
Applying Computational Intelligence Techniques to QoS Time Series Forecasting in Services Computing
... the forecasting of dynamic Quality of Service (QoS) values for Web Services (WSs) has become an emerging topic in services ...various time series forecasting methods have been used to ...
17
Time-Series analysis for wind speed forecasting
... In this paper we have identified the comparative study of ARIMA and ETS models which match for the measurement of wind speed time-series. The model(2, 1, 1) exhibits the best performance. The confirmation ...
7
Dynamic staged trees for discrete multivariate time series : forecasting, model selection and causal analysis
... the dynamic staged tree — is proposed for modelling discrete-valued discrete-time multivariate processes which are hypothesised to exhibit symmetries in how some intermediate situations might ...
29
Dynamic Bayesian models for vector time series analysis & forecasting
... Finally , in section 8.4 of this chapter , one of the most popular methods in the econometric literature about multivariate time series modelling and forecasting , the so called BVAR Ba[r] ...
191
An Introductory Study on Time Series Modeling and Forecasting
... Time series modeling is a dynamic research area which has attracted attentions of researchers community over last few ...of time series modeling is to carefully collect and rigorously ...
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Improved Forecasting Considering Dynamic Properties within the Time Series of Customer Demands
... Therefore, forecasting methods are required which deliver high-quality predictions on future sales considering all available information within the data at ...
6
TIME SERIES FORECASTING USING NEURAL NETWORKS
... for forecasting in the field of financial time series fails to efficiently handle uncertainty nature of foreign exchange data ...indices. Forecasting the exchange rates is a difficult problem ...
7
Wavelet-Based Hydrological Time Series Forecasting
... Following the theories of wavelet analysis (Percival and Walden 2000), the suitable mother wavelet and temporal scale should ac- curately reflect the deterministic characteristics and true compo- nents (periodicities, ...
5
A Modified Approach on Fuzzy Time Series Forecasting
... their forecasting model under the assumption that the observations at time t are dependent only upon the accumulated results of the observation at previous times, which is defined as ...
11
Time Series Modeling and Forecasting of CPI of Bangladesh
... Time series data is very important in the case of financial development of any ...with time series data. This study is consists of time series modeling and forecasting of ...
8
Introduction to Time Series and Forecasting, Second Edition
... values and choose the fitted model with smallest AICC value. Other techniques, in particular those that use the R and S arrays of Gray et al. (1978), are discussed in the survey of model identification by de Gooijer et ...
449
Application of Time Series Models for Streamflow Forecasting
... times series modeling and forecasting are the deseasonalized autoregressive integrated moving average (ARIMA) and autoregressive moving average (ARMA) ...and forecasting a high variety of stationary ...
8
Essays on Forecasting Financial and Economic Time Series
... that forecasting an ...when forecasting persistent autoregressive processes such as one plotted in panel ...the series to non-stationary ...the series even closer to unit root (panel ...
245
Input Variable Selection for Time Series Forecasting with Artificial Neural Networks: An Empirical Evaluation across Varying Time Series Frenquencies.
... 12 These are, in alphabetical order, Computers and Operations Research, Decision Sciences, European Journal of Operational Research, International Journal of Forecasting, Journal of Forecasting, Management ...
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