Econometric Modeling Combining MCMC Algorithm and Random Coefficient Quantile AR Model
The current econometric models have the disadvantages of low prediction accuracy and poor model fitting effect. To solve these problems, this study combines Markov chain Monte Carlo algorithm with random coefficient quantile auto-regression model, and optimizes the econometric model based on the fus...
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| Main Author: | Ting Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10909092/ |
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