Bayesian Computational Methods for Sampling from the Posterior Distribution of a Bivariate Survival Model, Based on AMH Copula in the Presence of Right-Censored Data.
Erlandson Ferreira SaraivaAdriano Kamimura SuzukiLuís Aparecido MilanPublished in: Entropy (2018)
Keyphrases
- posterior distribution
- computational methods
- markov chain monte carlo
- metropolis hastings
- gibbs sampler
- latent variables
- probability distribution
- bayesian estimation
- parameter estimation
- hyperparameters
- bayesian framework
- prior distribution
- posterior probability
- proposal distribution
- random sampling
- maximum a posteriori
- sampling algorithm
- statistical methods
- bayesian inference
- model averaging
- markov chain monte carlo methods
- parameter space
- support vector
- monte carlo
- joint distribution
- sample size
- expectation maximization
- markov random field
- co occurrence
- information retrieval
- probability density function
- bayesian networks
- prior knowledge
- probabilistic model
- cross validation
- statistical models
- closed form
- prior information
- data mining