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A concentration inequality for the inverse Gaussian distribution: A tribute to the late Professor A. K. Md. E. Saleh

Malay Ghosh

Journal of Statistical Research2025https://doi.org/10.3329/jsr.v59i1.83680article
ABDC C
Weight
0.50

What the paper says

Concentration inequalities involving tail behavior of distributions have currently become very popular owing to their applications in the growing machine learning literature. The paper offers one such inequality for the less known, but equally important inverse Gaussian distribution. Journal of Statistical Research 2025, Vol. 59, No. 1, pp. 5-8

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https://doi.org/https://doi.org/10.3329/jsr.v59i1.83680

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@article{malay2025,
  title        = {{A concentration inequality for the inverse Gaussian distribution: A tribute to the late Professor A. K. Md. E. Saleh}},
  author       = {Malay Ghosh},
  journal      = {Journal of Statistical Research},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.3329/jsr.v59i1.83680},
}

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A concentration inequality for the inverse Gaussian distribution: A tribute to the late Professor A. K. Md. E. Saleh

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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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