Sparse Markov models for high-dimensional inference
Finite-order Markov models are well-studied models for dependent finite alphabet data. Despite their generality, application in empirical work is rare when the order d is large relative to the sample size n (e.g., d=O(n)). Practitioners rarely use higher-order Markov models because (1) the number of...
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| Principais autores: | , |
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| Formato: | article |
| Idioma: | English |
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| Endereço do item: | https://repositorio.ufrn.br/handle/123456789/55432 |
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