References in zbMATH (referenced in 73 articles )

Showing results 1 to 20 of 73.
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  1. Gamado, Kokouvi; Streftaris, George; Zachary, Stan: Estimation of under-reporting in epidemics using approximations (2017)
  2. Jones, Graham: Algorithmic improvements to species delimitation and phylogeny estimation under the multispecies coalescent (2017)
  3. Lumbreras, Alberto; Velcin, Julien; Guégan, Marie; Jouve, Bertrand: Non-parametric clustering over user features and latent behavioral functions with dual-view mixture models (2017)
  4. Nicholas Michaud, Perry de Valpine, Daniel Turek, Christopher J. Paciorek: Sequential Monte Carlo Methods in the nimble R Package (2017) arXiv
  5. Byshkin, Maksym; Stivala, Alex; Mira, Antonietta; Krause, Rolf; Robins, Garry; Lomi, Alessandro: Auxiliary parameter MCMC for exponential random graph models (2016)
  6. Cepeda-Cuervo, Edilberto; Jaimes, Daniel; Marín, Margarita; Rojas, Javier: Bayesian beta regression with Bayesianbetareg R-package (2016)
  7. Farias, Rafael B.A.; Montoril, Michel H.; Andrade, José A.A.: Bayesian inference for extreme quantiles of heavy tailed distributions (2016)
  8. Hernández-Lobato, José Miguel; Gelbart, Michael A.; Adams, Ryan P.; Hoffman, Matthew W.; Ghahramani, Zoubin: A general framework for constrained Bayesian optimization using information-based search (2016)
  9. Panagiotis Papastamoulis, Magnus Rattray: BayesBinMix: an R Package for Model Based Clustering of Multivariate Binary Data (2016) arXiv
  10. Philipp H Boersch-Supan, Leah R Johnson: deBInfer: Bayesian inference for dynamical models of biological systems in R (2016) arXiv
  11. Turner, Brandon M.; Sederberg, Per B.; McClelland, James L.: Bayesian analysis of simulation-based models (2016)
  12. Velasco-Cruz, Ciro; Contreras-Cruz, Luis Fernando; Smith, Eric P.; Rodríguez, José E.: A varying coefficients model for estimating finite population totals: a hierarchical Bayesian approach (2016)
  13. White, Arthur; Wyse, Jason; Murphy, Thomas Brendan: Bayesian variable selection for latent class analysis using a collapsed Gibbs sampler (2016)
  14. Baumgartner, Carolin; Gruber, Lutz F.; Czado, Claudia: Bayesian total loss estimation using shared random effects (2015)
  15. Lin, Xiaoyan; Cai, Bo; Wang, Lianming; Zhang, Zhigang: A Bayesian proportional hazards model for general interval-censored data (2015)
  16. Liu, Fangfang; Wang, Chong; Liu, Peng: A semi-parametric Bayesian approach for differential expression analysis of RNA-seq data (2015)
  17. Mostafa, Ayman A.: Bayesian analysis technique for generalized Cox’s proportional hazards model using BUGS: applications in medical data (2015)
  18. Müller, Peter; Quintana, Fernando Andrés; Jara, Alejandro; Hanson, Tim: Bayesian nonparametric data analysis (2015)
  19. Pérez-Elizalde, Sergio; Cuevas, Jaime; Pérez-Rodríguez, Paulino; Crossa, José: Selection of the bandwidth parameter in a Bayesian kernel regression model for genomic-enabled prediction (2015)
  20. Scutari, Marco; Denis, Jean-Baptiste: Bayesian networks. With examples in R (2015)

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