Rejoinder to the discussion of “Bayesian graphical models for modern biological applications”

Author:

Ni Yang,Baladandayuthapani Veerabhadran,Vannucci Marina,Stingo Francesco C.ORCID

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference24 articles.

1. Arbel J, Battiston M, Favaro S, Lijoi A, Prünster I, Mena RH, Ni Y, Müller P (2017) Discussions of the paper sparse graphs using exchangeable random measures by F. Caron and E. Fox. arXiv preprint arXiv:170700842

2. Bhadra A, Rao A, Baladandayuthapani V (2018) Inferring network structure in non-normal and mixed discrete-continuous genomic data. Biometrics 74(1):185–195

3. Bhattacharyya R, Ha MJ, Liu Q, Akbani R, Liang H, Baladandayuthapani V (2020) Personalized network modeling of the pan-cancer patient and cell line interactome. JCO Clin Cancer Inf 4:399–411

4. Caron F, Fox EB (2017) Sparse graphs using exchangeable random measures. J R Stat Soc Ser B Stat Methodol 79(5):1295

5. Castelletti F, Consonni G (2019) Objective Bayes model selection of Gaussian interventional essential graphs for the identification of signaling pathways. Ann Appl Stat 13(4):2289–2311

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