Pages that link to "Item:Q2460289"
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The following pages link to An application of interval methods to stock market forecasting (Q2460289):
Displaying 18 items.
- Different approaches to forecast interval time series: a comparison in finance (Q625643) (← links)
- Interval time series analysis with an application to the sterling-dollar exchange rate (Q732814) (← links)
- Evaluating probabilistic forecasts of stock prices in a developing stock market (Q1330581) (← links)
- Data generation processes and statistical management of interval data (Q1622089) (← links)
- Constrained center and range joint model for interval-valued symbolic data regression (Q1658407) (← links)
- An interval method for studying the relationship between the Australian dollar exchange rate and the gold price (Q1761392) (← links)
- A full convex combination method for linear regression with interval data (Q2086224) (← links)
- A rule-based granular model development for interval-valued time series (Q2237514) (← links)
- Solving the linear interval tolerance problem for weight initialization of neural networks (Q2339407) (← links)
- Modeling and forecasting interval time series with threshold models (Q2418385) (← links)
- (Q3175180) (← links)
- Analysis of crisis impact on crude oil prices: a new approach with interval time series modelling (Q4554258) (← links)
- A novel hybrid ARIMA and regression tree model for the interval-valued time series (Q5065267) (← links)
- Modeling the Variance of Return Intervals Toward Volatility Prediction (Q5121008) (← links)
- Forecasting research of financial time series based on interval data (Q5371367) (← links)
- Robust regression for interval-valued data based on midpoints and log-ranges (Q6050753) (← links)
- Carbon price interval prediction method based on probability density recurrence network and interval multi-layer perceptron (Q6500351) (← links)
- Causalities-multiplicity oriented joint interval-trend fuzzy information granulation for interval-valued time series multi-step forecasting (Q6669279) (← links)