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Nearly assumptionless screening for the mutually-exciting multivariate Hawkes process

We consider the task of learning the structure of the graph underlying a mutually-exciting multivariate Hawkes process in the high-dimensional setting. We propose a simple and computationally inexpensive edge screening approach. Under a subset of the assumptions required for penalized estimation app...

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Detalles Bibliográficos
Publicado en:Electron J Stat
Main Authors: Chen, Shizhe, Witten, Daniela, Shojaie, Ali
Formato: Artigo
Idioma:Inglês
Publicado: 2017
Assuntos:
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC5570442/
https://ncbi.nlm.nih.gov/pubmed/28845209
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/17-EJS1251
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