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Bayesian weighted composite quantile regression in varying-coefficient partially linear mixed-effects model with ordinal longitudinal data

Xiaofan Wang et al.

Computational Statistics2026https://doi.org/10.1007/s00180-025-01715-1article
AJG 2
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0.50

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https://doi.org/https://doi.org/10.1007/s00180-025-01715-1

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@article{xiaofan2026,
  title        = {{Bayesian weighted composite quantile regression in varying-coefficient partially linear mixed-effects model with ordinal longitudinal data}},
  author       = {Xiaofan Wang et al.},
  journal      = {Computational Statistics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1007/s00180-025-01715-1},
}

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Bayesian weighted composite quantile regression in varying-coefficient partially linear mixed-effects model with ordinal longitudinal data

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Evidence weight

0.50

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

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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