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
References in zbMATH (referenced in 90 articles , 1 standard article )
Showing results 1 to 20 of 90.
Sorted by year (- Amaral Turkman, Maria Antónia; Paulino, Carlos Daniel; Müller, Peter: Computational Bayesian statistics. An introduction (2019)
- Naranjo, Lizbeth; Pérez, Carlos J.; Martín, Jacinto: Skewed link-based regression models for misclassified binary data (2019)
- Ntzoufras, Ioannis; Tarantola, Claudia; Lupparelli, Monia: Probability based independence sampler for Bayesian quantitative learning in graphical log-linear marginal models (2019)
- Islam, S.; Anand, S.; Mcqueen, M.; Hamid, J.; Thabane, L.; Yusuf, S.; Beyene, J.: Classification rules for identifying individuals at high risk of developing myocardial infarction based on ApoB, ApoA1 and the ratio were determined using a Bayesian approach (2018)
- Richardson, Robert; Kottas, Athanasios; Sansó, Bruno: Bayesian non-parametric modeling for integro-difference equations (2018)
- Richardson, Robert; Kottas, Athanasios; Sansó, Bruno: Flexible integro-difference equation modeling for spatio-temporal data (2017)
- 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)
- Mohammadi, Tayeb; Kheiri, Soleiman; Sedehi, Morteza: Analysis of blood transfusion data using bivariate zero-inflated Poisson model: A Bayesian approach (2016)
- Volos, Christos K. (ed.); Vaidyanathan, Sundarapandian (ed.); Pham, Viet-Thanh (ed.); Tlelo-Cuautle, Esteban (ed.): Discrete chaotic dynamics for economics and social science (2016)
- Xavier Fernández-i-Marín: ggmcmc: Analysis of MCMC Samples and Bayesian Inference (2016) not zbMATH
- Fellingham, Gilbert W.; Kottas, Athanasios; Hartman, Brian M.: Bayesian nonparametric predictive modeling of group health claims (2015)
- González, Jorge; Barrientos, Andrés F.; Quintana, Fernando A.: Bayesian nonparametric estimation of test equating functions with covariates (2015)
- Mostafa, Ayman A.: Bayesian analysis technique for generalized Cox’s proportional hazards model using BUGS: applications in medical data (2015)
- Müller, Peter; Quintana, Fernando Andrés; Jara, Alejandro; Hanson, Tim: Bayesian nonparametric data analysis (2015)
- Naranjo, L.; Pérez, C. J.; Martín, J.: Bayesian analysis of some models that use the asymmetric exponential power distribution (2015)
- Torabi, Mahmoud; Shokoohi, Farhad: Non-parametric generalized linear mixed models in small area estimation (2015)
- Del Fava, Emanuele; Shkedy, Ziv; Aregay, Mehreteab; Molenberghs, Geert: Modelling multivariate, overdispersed binomial data with additive and multiplicative random effects (2014)
- Naranjo, L.; Martín, J.; Pérez, C. J.; Rufo, M. J.: Addressing misclassification for binary data: probit and t-link regressions (2014)
- 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)
- Torabi, Mahmoud; Shokoohi, Farhad: Hierarchical Bayes estimation in small area estimation using cross-sectional and time-series data (2014)