References in zbMATH (referenced in 93 articles , 1 standard article )

Showing results 1 to 20 of 93.
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  1. Wehrhahn, Claudia; Jara, Alejandro; Barrientos, Andrés F.: On the small sample behavior of Dirichlet process mixture models for data supported on compact intervals (2021)
  2. Alhamzawi, Rahim; Taha Mohammad Ali, Haithem: A new Gibbs sampler for Bayesian Lasso (2020)
  3. Al-Mamun, A.; Barber, J.; Ginting, V.; Pereira, F.; Rahunanthan, A.: Contaminant transport forecasting in the subsurface using a Bayesian framework (2020)
  4. Amaral Turkman, Maria Antónia; Paulino, Carlos Daniel; Müller, Peter: Computational Bayesian statistics. An introduction (2019)
  5. Naranjo, Lizbeth; Pérez, Carlos J.; Martín, Jacinto: Skewed link-based regression models for misclassified binary data (2019)
  6. Ntzoufras, Ioannis; Tarantola, Claudia; Lupparelli, Monia: Probability based independence sampler for Bayesian quantitative learning in graphical log-linear marginal models (2019)
  7. 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)
  8. Richardson, Robert; Kottas, Athanasios; Sansó, Bruno: Bayesian non-parametric modeling for integro-difference equations (2018)
  9. Richardson, Robert; Kottas, Athanasios; Sansó, Bruno: Flexible integro-difference equation modeling for spatio-temporal data (2017)
  10. 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)
  11. Mohammadi, Tayeb; Kheiri, Soleiman; Sedehi, Morteza: Analysis of blood transfusion data using bivariate zero-inflated Poisson model: A Bayesian approach (2016)
  12. Volos, Christos K. (ed.); Vaidyanathan, Sundarapandian (ed.); Pham, Viet-Thanh (ed.); Tlelo-Cuautle, Esteban (ed.): Discrete chaotic dynamics for economics and social science (2016)
  13. Xavier Fernández-i-Marín: ggmcmc: Analysis of MCMC Samples and Bayesian Inference (2016) not zbMATH
  14. Fellingham, Gilbert W.; Kottas, Athanasios; Hartman, Brian M.: Bayesian nonparametric predictive modeling of group health claims (2015)
  15. González, Jorge; Barrientos, Andrés F.; Quintana, Fernando A.: Bayesian nonparametric estimation of test equating functions with covariates (2015)
  16. Mostafa, Ayman A.: Bayesian analysis technique for generalized Cox’s proportional hazards model using BUGS: applications in medical data (2015)
  17. Müller, Peter; Quintana, Fernando Andrés; Jara, Alejandro; Hanson, Tim: Bayesian nonparametric data analysis (2015)
  18. Naranjo, L.; Pérez, C. J.; Martín, J.: Bayesian analysis of some models that use the asymmetric exponential power distribution (2015)
  19. Torabi, Mahmoud; Shokoohi, Farhad: Non-parametric generalized linear mixed models in small area estimation (2015)
  20. Del Fava, Emanuele; Shkedy, Ziv; Aregay, Mehreteab; Molenberghs, Geert: Modelling multivariate, overdispersed binomial data with additive and multiplicative random effects (2014)

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