Autoregressive conditional negative binomial model applied to over-dispersed time series of counts

Cathy W. S. Chen et al.

Statistical Methodology2016https://doi.org/10.1016/j.stamet.2016.02.001article
ABDC C
Weight
0.63

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https://doi.org/https://doi.org/10.1016/j.stamet.2016.02.001

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@article{cathy2016,
  title        = {{Autoregressive conditional negative binomial model applied to over-dispersed time series of counts}},
  author       = {Cathy W. S. Chen et al.},
  journal      = {Statistical Methodology},
  year         = {2016},
  doi          = {https://doi.org/https://doi.org/10.1016/j.stamet.2016.02.001},
}

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Autoregressive conditional negative binomial model applied to over-dispersed time series of counts

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Evidence weight

0.63

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.70 × 0.4 = 0.28
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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