JASA Oct 20, 2026

A Generalized Tangent Approximation based Variational Inference Framework for Strongly Super-Gaussian Likelihoods

Authors
Somjit Roy Pritam Dey Debdeep Pati Bani K. Mallick
View Full Paper
Paper Information
  • Journal:
    Journal of the American Statistical Association
  • DOI:
    10.1080/01621459.2026.2749698
  • Published:
    October 20, 2026
  • Added to Tracker:
    Oct 21, 2026
Author Details
Somjit Roy
Author
Pritam Dey
Author
Debdeep Pati
Author
Bani K. Mallick
Author
Citation Information
APA Format
Somjit Roy , Pritam Dey , Debdeep Pati & Bani K. Mallick (2026) . A Generalized Tangent Approximation based Variational Inference Framework for Strongly Super-Gaussian Likelihoods. Journal of the American Statistical Association , 10.1080/01621459.2026.2749698.
BibTeX Format
@article{paper1756,
  title = { A Generalized Tangent Approximation based Variational Inference Framework for Strongly Super-Gaussian Likelihoods },
  author = { Somjit Roy and Pritam Dey and Debdeep Pati and Bani K. Mallick },
  journal = { Journal of the American Statistical Association },
  year = { 2026 },
  doi = { 10.1080/01621459.2026.2749698 },
  url = { https://doi.org/10.1080/01621459.2026.2749698 }
}
Back to Papers