Corpus ID: 231740983

Relaxed Clustered Hawkes Process for Procrastination Modeling in MOOCs

@article{Yao2021RelaxedCH,
  title={Relaxed Clustered Hawkes Process for Procrastination Modeling in MOOCs},
  author={Mengfan Yao and Siqian Zhao and Shaghayegh Sherry Sahebi and Reza Feyzi-Behnagh},
  journal={ArXiv},
  year={2021},
  volume={abs/2102.00093}
}
Hawkes processes have been shown to be efficient in modeling bursty sequences in a variety of applications, such as finance and social network activity analysis. Traditionally, these models parameterize each process independently and assume that the history of each point process can be fully observed. Such models could however be inefficient or even prohibited in certain real-world applications, such as in the field of education, where such assumptions are violated. Motivated by the problem of… Expand

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