R package coda: Output analysis and diagnostics for MCMC , Output analysis and diagnostics for Markov Chain Monte Carlo simulations. Provides functions for summarizing and plotting the output from Markov Chain Monte Carlo (MCMC) simulations, as well as diagnostic tests of convergence to the equilibrium distribution of the Markov chain. (Source:

References in zbMATH (referenced in 123 articles )

Showing results 1 to 20 of 123.
Sorted by year (citations)

1 2 3 ... 5 6 7 next

  1. Chanialidis, Charalampos; Evers, Ludger; Neocleous, Tereza; Nobile, Agostino: Efficient Bayesian inference for COM-Poisson regression models (2018)
  2. Cowles, Mary Kathryn; Bonett, Stephen; Seedorff, Michael: Independent sampling for Bayesian normal conditional autoregressive models with OpenCL acceleration (2018)
  3. Leisen, Fabrizio; Rossini, Luca; Villa, Cristiano: Objective Bayesian analysis of the Yule-Simon distribution with applications (2018)
  4. Antonio Canale: msBP: An R Package to Perform Bayesian Nonparametric Inference Using Multiscale Bernstein Polynomials Mixtures (2017)
  5. Bob Carpenter and Andrew Gelman and Matthew Hoffman and Daniel Lee and Ben Goodrich and Michael Betancourt and Marcus Brubaker and Jiqiang Guo and Peter Li and Allen Riddell: Stan: A Probabilistic Programming Language (2017)
  6. 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)
  7. Dries Benoit and Dirk Van den Poel: bayesQR: A Bayesian Approach to Quantile Regression (2017)
  8. Fox, Jean-Paul; Mulder, Joris; Sinharay, Sandip: Bayes factor covariance testing in item response models (2017)
  9. Gamado, Kokouvi; Streftaris, George; Zachary, Stan: Estimation of under-reporting in epidemics using approximations (2017)
  10. Gronau, Quentin F.; Sarafoglou, Alexandra; Matzke, Dora; Ly, Alexander; Boehm, Udo; Marsman, Maarten; Leslie, David S.; Forster, Jonathan J.; Wagenmakers, Eric-Jan; Steingroever, Helen: A tutorial on bridge sampling (2017)
  11. Jones, Graham: Algorithmic improvements to species delimitation and phylogeny estimation under the multispecies coalescent (2017)
  12. Khadraoui, Khader: Nonparametric adaptive Bayesian regression using priors with tractable normalizing constants and under qualitative assumptions (2017)
  13. 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)
  14. Lanzarone, E.; Pasquali, S.; Gilioli, G.; Marchesini, E.: A Bayesian estimation approach for the mortality in a stage-structured demographic model (2017)
  15. Lumbreras, Alberto; Velcin, Julien; Guégan, Marie; Jouve, Bertrand: Non-parametric clustering over user features and latent behavioral functions with dual-view mixture models (2017)
  16. Morales, Juan Manuel; di Virgilio, Agustina; Delgado, María del Mar; Ovaskainen, Otso: A general approach to model movement in (highly) fragmented patch networks (2017)
  17. Nicholas Michaud, Perry de Valpine, Daniel Turek, Christopher J. Paciorek: Sequential Monte Carlo Methods in the nimble R Package (2017) arXiv
  18. Quentin F. Gronau, Henrik Singmann, Eric-Jan Wagenmakers: bridgesampling: An R Package for Estimating Normalizing Constants (2017) arXiv
  19. 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)
  20. Byshkin, Maksym; Stivala, Alex; Mira, Antonietta; Krause, Rolf; Robins, Garry; Lomi, Alessandro: Auxiliary parameter MCMC for exponential random graph models (2016)

1 2 3 ... 5 6 7 next