Skip to content
DraconiticResearch
Search Sources API
203,948 studies31 sourcesUpdated 11 min ago
Peer-reviewedLicence not statedStatistics in Biopharmaceutical Research

Objective Bayes Factor Based Model Selection for Zero-Inflated Microbiome Count Data Under Jeffreys Prior

  1. 1Department of Mathematics and Statistics, University of South Alabama
  2. 2Boehringer Ingelheim Pharmaceuticals, Inc

Related

  1. A joint mixture Tobit method with latent microbial abundance improves detection of microbiome–disease associations in zero-inflated data
    Junrong Deng, Dong Chen, Siyuan Shen +5
    PLOS Computational BiologyPeer-reviewedCC BYFull textMicrobiologyStatisticsPLOSEurope PMC
  2. Objective Selection in Many-Objective Optimization via Conditioning-Based Analysis of Objective Redundancy
    Tomás Marques, António J. Pontes, António Gaspar-Cunha
    MathematicsPeer-reviewedCC BY 4.0General mathematicsCrossref
  3. Pareto-Guided Leader Selection in the Mountain Gazelle Optimizer: A Controlled Multi-Objective Study
    Preut Thanarat, Suchart Khummanee, Chatklaw Jareanpon
    MathematicsPeer-reviewedCC BY 4.0General mathematicsCrossref
  4. Bayesian Nonparametric Longitudinal Factor Model for Microbiome Counts
    Shuangjie Zhang, Seoyeon Ok, Arul Jayaraman +4
    arXivPreprintarXiv licenceFull textStatisticsarXiv
  5. Constrained Mean Variance Portfolio Selection under Reflected Factor Dynamics: Stochastic Riccati Equations, Neumann Problems,and a Deep Solver
    Zhecheng Huang, Guojiang Shao, Qi Zhang
    arXivPreprintarXiv licenceFull textOptimisation & controlarXiv
BibTeX
@article{pramanik2026objective,
  title = {{Objective Bayes Factor Based Model Selection for Zero-Inflated Microbiome Count Data Under Jeffreys Prior}},
  author = {Paramahansa Pramanik and Arnab K. Maity},
  journal = {Statistics in Biopharmaceutical Research},
  year = {2026},
  month = sep,
  doi = {10.1080/19466315.2026.2739408},
  url = {http://arxiv.org/abs/2401.03649},
}
RIS
TY  - JOUR
TI  - Objective Bayes Factor Based Model Selection for Zero-Inflated Microbiome Count Data Under Jeffreys Prior
AU  - Paramahansa Pramanik
AU  - Arnab K. Maity
PY  - 2026
DA  - 2026/09/25
JO  - Statistics in Biopharmaceutical Research
DO  - 10.1080/19466315.2026.2739408
UR  - http://arxiv.org/abs/2401.03649
SN  - 1946-6315
ER  -