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How to apply the novel dynamic ARDL simulations (dynardl) and Kernel-based regularized least squares (krls)
The application of dynamic Autoregressive Distributed Lag (dynardl) simulations and Kernel-based Regularized Least Squares (krls) to time series data is gradually gaining recognition in energy, environmental and health economics. The Kernel-based Regularized Least Squares technique is a simplified m...
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| I publikationen: | MethodsX |
|---|---|
| Huvudupphovsmän: | , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Elsevier
2020
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7718150/ https://ncbi.nlm.nih.gov/pubmed/33304836 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.mex.2020.101160 |
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