boa

BOA is an R/S-PLUS program for carrying out convergence diagnostics and statistical and graphical analysis of Monte Carlo sampling output. It can be used as an output processor for the BUGS software or for any other program which produces sampling output.

Keywords for this software

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References in zbMATH (referenced in 39 articles )

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  1. 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)
  2. Fellingham, Gilbert W.; Kottas, Athanasios; Hartman, Brian M.: Bayesian nonparametric predictive modeling of group health claims (2015)
  3. Mostafa, Ayman A.: Bayesian analysis technique for generalized Cox’s proportional hazards model using BUGS: applications in medical data (2015)
  4. Müller, Peter; Quintana, Fernando Andrés; Jara, Alejandro; Hanson, Tim: Bayesian nonparametric data analysis (2015)
  5. Naranjo, L.; Pérez, C.J.; Martín, J.: Bayesian analysis of some models that use the asymmetric exponential power distribution (2015)
  6. 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)
  7. Paulino, Carlos Daniel; Silva, Giovani L.; Branco, Márcia: A fully Bayesian parametric approach for cytogenetic dosimetry (2013)
  8. Hong, Zhaoping; Lian, Heng: BOPA: A Bayesian hierarchical model for outlier expression detection (2012)
  9. Ji, Yonggang; Lin, Nan; Zhang, Baoxue: Model selection in binary and Tobit quantile regression using the Gibbs sampler (2012)
  10. Tojeiro, Cynthia A.V.; Louzada, Francisco: A general threshold stress hybrid hazard model for lifetime data (2012)
  11. Torabi, Mahmoud: Hierarchical Bayes estimation of spatial statistics for rates (2012)
  12. Torabi, Mahmoud; Shokoohi, Farhad: Likelihood inference in small area estimation by combining time-series and cross-sectional data (2012)
  13. Trippa, Lorenzo; Parmigiani, Giovanni: False discovery rates in somatic mutation studies of cancer (2011)
  14. Wang, Joanna J.J.; Chan, Jennifer S.K.; Choy, S.T.Boris: Stochastic volatility models with leverage and heavy-tailed distributions: a Bayesian approach using scale mixtures (2011)
  15. Hogg, Charles R.; Kadane, Joseph B.; Lee, Jong Soo; Majetich, Sara A.: Error analysis for small angle neutron scattering datasets using Bayesian inference (2010)
  16. Kim, Chansoo; Song, Seongho: Bayesian estimation of the parameters of the generalized exponential distribution from doubly censored samples (2010)
  17. Albert, Jim: Bayesian computation with R (2009)
  18. Peltonen, Jaakko; Venna, Jarkko; Kaski, Samuel: Visualizations for assessing convergence and mixing of Markov chain Monte Carlo simulations (2009)
  19. Sepúlveda, Nuno; Paulino, Carlos Daniel; Penha-Gonçalves, Carlos: Bayesian analysis of allelic penetrance models for complex binary traits (2009)
  20. de la Cruz, Rolando: Bayesian non-linear regression models with skew-elliptical errors: applications to the classification of longitudinal profiles (2008)

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