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Learning High-dimensional Generalized Linear Autoregressive Models
Vector autoregressive models characterize a variety of time series in which linear combinations of current and past observations can be used to accurately predict future observations. For instance, each element of an observation vector could correspond to a different node in a network, and the param...
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| Publicado no: | IEEE Trans Inf Theory |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6910659/ https://ncbi.nlm.nih.gov/pubmed/31839683 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TIT.2018.2884673 |
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