boa

R package boa: Bayesian Output Analysis Program (BOA) for MCMC. A menu-driven program and library of functions for carrying out convergence diagnostics and statistical and graphical analysis of Markov chain Monte Carlo sampling output.

Keywords for this software

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References in zbMATH (referenced in 82 articles , 1 standard article )

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  1. Amaral Turkman, Maria Antónia; Paulino, Carlos Daniel; Müller, Peter: Computational Bayesian statistics. An introduction (2019)
  2. Naranjo, Lizbeth; Pérez, Carlos J.; Martín, Jacinto: Skewed link-based regression models for misclassified binary data (2019)
  3. Ntzoufras, Ioannis; Tarantola, Claudia; Lupparelli, Monia: Probability based independence sampler for Bayesian quantitative learning in graphical log-linear marginal models (2019)
  4. Richardson, Robert; Kottas, Athanasios; Sansó, Bruno: Bayesian non-parametric modeling for integro-difference equations (2018)
  5. Richardson, Robert; Kottas, Athanasios; Sansó, Bruno: Flexible integro-difference equation modeling for spatio-temporal data (2017)
  6. De la Cruz, Rolando; Meza, Cristian; Arribas-Gil, Ana; Carroll, Raymond J.: Bayesian regression analysis of data with random effects covariates from nonlinear longitudinal measurements (2016)
  7. Mohammadi, Tayeb; Kheiri, Soleiman; Sedehi, Morteza: Analysis of blood transfusion data using bivariate zero-inflated Poisson model: A Bayesian approach (2016)
  8. Volos, Christos K. (ed.); Vaidyanathan, Sundarapandian (ed.); Pham, Viet-Thanh (ed.); Tlelo-Cuautle, Esteban (ed.): Discrete chaotic dynamics for economics and social science (2016)
  9. Xavier Fernández-i-Marín: ggmcmc: Analysis of MCMC Samples and Bayesian Inference (2016) not zbMATH
  10. Fellingham, Gilbert W.; Kottas, Athanasios; Hartman, Brian M.: Bayesian nonparametric predictive modeling of group health claims (2015)
  11. González, Jorge; Barrientos, Andrés F.; Quintana, Fernando A.: Bayesian nonparametric estimation of test equating functions with covariates (2015)
  12. Mostafa, Ayman A.: Bayesian analysis technique for generalized Cox’s proportional hazards model using BUGS: applications in medical data (2015)
  13. Müller, Peter; Quintana, Fernando Andrés; Jara, Alejandro; Hanson, Tim: Bayesian nonparametric data analysis (2015)
  14. Naranjo, L.; Pérez, C. J.; Martín, J.: Bayesian analysis of some models that use the asymmetric exponential power distribution (2015)
  15. Torabi, Mahmoud; Shokoohi, Farhad: Non-parametric generalized linear mixed models in small area estimation (2015)
  16. Naranjo, L.; Martín, J.; Pérez, C. J.; Rufo, M. J.: Addressing misclassification for binary data: probit and t-link regressions (2014)
  17. Romeo, Jose S.; Meyer, Renate; Reyes-Lopez, Felipe E.: Hierarchical failure time regression using mixtures for classification of the immune response of atlantic salmon (2014)
  18. Torabi, Mahmoud; Shokoohi, Farhad: Hierarchical Bayes estimation in small area estimation using cross-sectional and time-series data (2014)
  19. Baghfalaki, Taban; Ganjali, Mojtaba; Berridge, Damon: Robust joint modeling of longitudinal measurements and time to event data using normal/independent distributions: A Bayesian approach (2013)
  20. Leen Slaets; Gerda Claeskens; Bernard Silverman: Warping Functional Data in R and C via a Bayesian Multiresolution Approach (2013) not zbMATH

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