References in zbMATH (referenced in 102 articles )

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  1. Davies, Vinny; Reeve, Richard; Harvey, William T.; Maree, Francois F.; Husmeier, Dirk: A sparse hierarchical Bayesian model for detecting relevant antigenic sites in virus evolution (2017)
  2. Gamado, Kokouvi; Streftaris, George; Zachary, Stan: Estimation of under-reporting in epidemics using approximations (2017)
  3. Jones, Graham: Algorithmic improvements to species delimitation and phylogeny estimation under the multispecies coalescent (2017)
  4. Khadraoui, Khader: Nonparametric adaptive Bayesian regression using priors with tractable normalizing constants and under qualitative assumptions (2017)
  5. Lahoz-Monfort, José J.; Harris, Michael P.; Wanless, Sarah; Freeman, Stephen N.; Morgan, Byron J.T.: Bringing it all together: multi-species integrated population modelling of a breeding community (2017)
  6. Lanzarone, E.; Pasquali, S.; Gilioli, G.; Marchesini, E.: A Bayesian estimation approach for the mortality in a stage-structured demographic model (2017)
  7. Lumbreras, Alberto; Velcin, Julien; Guégan, Marie; Jouve, Bertrand: Non-parametric clustering over user features and latent behavioral functions with dual-view mixture models (2017)
  8. Morales, Juan Manuel; di Virgilio, Agustina; Delgado, María del Mar; Ovaskainen, Otso: A general approach to model movement in (highly) fragmented patch networks (2017)
  9. Nicholas Michaud, Perry de Valpine, Daniel Turek, Christopher J. Paciorek: Sequential Monte Carlo Methods in the nimble R Package (2017) arXiv
  10. Quentin F. Gronau, Henrik Singmann, Eric-Jan Wagenmakers: bridgesampling: An R Package for Estimating Normalizing Constants (2017) arXiv
  11. Arcuti, Simona; Pollice, Alessio; Ribecco, Nunziata; D’Onghia, Gianfranco: Bayesian spatiotemporal analysis of zero-inflated biological population density data by a delta-normal spatiotemporal additive model (2016)
  12. Byshkin, Maksym; Stivala, Alex; Mira, Antonietta; Krause, Rolf; Robins, Garry; Lomi, Alessandro: Auxiliary parameter MCMC for exponential random graph models (2016)
  13. Cepeda-Cuervo, Edilberto; Jaimes, Daniel; Marín, Margarita; Rojas, Javier: Bayesian beta regression with Bayesianbetareg R-package (2016)
  14. Drovandi, Christopher C.; Pettitt, Anthony N.; McCutchan, Roy A.: Exact and approximate Bayesian inference for low integer-valued time series models with intractable likelihoods (2016)
  15. Elghafghuf, Adel; Stryhn, Henrik: Correlated versus uncorrelated frailty Cox models: a comparison of different estimation procedures (2016)
  16. Farias, Rafael B.A.; Montoril, Michel H.; Andrade, José A.A.: Bayesian inference for extreme quantiles of heavy tailed distributions (2016)
  17. González, Miguel; Gutiérrez, Cristina; Martínez, Rodrigo; Minuesa, Carmen; del Puerto, Inés M.: Bayesian analysis for controlled branching processes (2016)
  18. 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)
  19. King, Ruth; McClintock, Brett T.; Kidney, Darren; Borchers, David: Capture-recapture abundance estimation using a semi-complete data likelihood approach (2016)
  20. Leiva-Yamaguchi, Valeria; Quintana, Fernando A.: A semiparametric Bayesian model for multiple monotonically increasing count sequences (2016)

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