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Dependent Dirichlet Processes for Analysis of a Generalized Shared Frailty Model
[chapter]
2021
Computational Statistics and Applications [Working Title]
Bayesian paradigm takes advantage of well-fitting complicated survival models and feasible computing in survival analysis owing to the superiority in tackling the complex censoring scheme, compared with the frequentist paradigm. In this chapter, we aim to display the latest tendency in Bayesian computing, in the sense of automating the posterior sampling, through a Bayesian analysis of survival modeling for multivariate survival outcomes with the complicated data structure. Motivated by
doi:10.5772/intechopen.101502
fatcat:7a4mwvwpwzaaxayrf424nxx2ym