Fetching the paper…
Reading the bibliography…
Verifying the correctness of Bayesian computation is challenging.
[author] Blom, GunnarG. (1958). Statistical Estimates and Transformed Beta-Variables. Wiley; New York
1958
Earlier work this paper cites.
[author] Rubin, Donald B.D. B. (1981). Estimation in parallel randomized experiments. Journal of Educational Statistics 6 377–401. 10.3102/10769986006004377
1981
Earlier work this paper cites.
[author] Geyer, Charles JC. J. (1992). Practical Markov chain Monte Carlo. Statistical Science 473–483
1992
Earlier work this paper cites.
[author] Anderson, Jeffrey LJ. L. (1996). A method for producing and evaluating probabilistic forecasts from ensemble model integrations. Journal of Climate 9 1518–1530
1996
Earlier work this paper cites.
[author] Hamill, Thomas MT. M. (2001). Interpretation of rank histograms for verifying ensemble forecasts. Monthly Weather Review 129 550–560
2001
Earlier work this paper cites.
[author] Geweke, JJ. (2004). Getting it right: Joint distribution tests of posterior simulators. Journal of the American Statistical Assocation 98 799–804
2004
Earlier work this paper cites.
[author] Cook, SamanthaS. (2006). BayesValidate (R package). https://CRAN.R-project.org/package=BayesValidate
2006
Earlier work this paper cites.
[author] Cook, Samantha RS. R., Gelman, AndrewA. and Rubin, Donald BD. B. (2006). Validation of software for Bayesian models using posterior quantiles. Journal of Computational and Graphical Statistics 15 675–692
2006
Earlier work this paper cites.
[author] Gelman, AndrewA. (2017). Correction to Cook, Gelman, and Rubin (2006). Journal of Computational and Graphical Statistics 26 940
2006
Earlier work this paper cites.
[author] Papaspiliopoulos, OmirosO., Roberts, Gareth OG. O. and Sköld, MartinM. (2007). A general framework for the parametrization of hierarchical models. Statistical Science 22 59–73
2007
Earlier work this paper cites.
[author] Gneiting, TilmannT., Stanberry, Larissa IL. I., Grimit, Eric PE. P., Held, LeonhardL. and Johnson, Nicholas AN. A. (2008). Assessing probabilistic forecasts of multivariate quantities, with an application to ensemble predictions of surface winds. Test 17 211
2008
Cited alongside, same era.
[author] Rue, HåvardH., Martino, SaraS. and Chopin, NicolasN. (2009). Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 71 319–392
2009
Cited alongside, same era.
[author] Lindgren, FinnF., Rue, HåvardH. and Lindström, JohanJ. (2011). An explicit link between Gaussian fields and Gaussian Markov random fields: The stochastic partial differential equation approach. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 73 423–498
2011
Cited alongside, same era.
[author] Neal, Radford MR. M. et al. (2011). MCMC using Hamiltonian dynamics. In Handbook of Markov Chain Monte Carlo (SteveS. Brooks, AndrewA. Gelman, Galin L.G. L. Jones and X. L.X. L. Meng, eds.) CRC Press
[author] Wakefield, JonJ., Simpson, DanielD. and Godwin, JessicaJ. (2016). Comment: Getting into Space with a Weight Problem. Journal of the American Statistical Association 111 1111–1118
2016
Later among the works it cites.
2017
Later among the works it cites.
[author] Carpenter, BobB., Gelman, AndrewA., Hoffman, MatthewM., Lee, DanielD., Goodrich, BenB., Betancourt, MichaelM., Brubaker, MarcusM., Guo, JiqiangJ., Li, PeterP. and Riddell, AllenA. (2017). Stan: A probabilistic programming language. Journal of Statistical Software, Articles 76 1–32. 10.18637/jss.v076.i01
2017
Later among the works it cites.
[author] Kucukelbir, AlpA., Tran, DustinD., Ranganath, RajeshR., Gelman, AndrewA. and Blei, David MD. M. (2017). Automatic differentiation variational inference. Journal of Machine Learning Research 18 430–474
2017
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2011
Cited alongside, same era.
[author] Corsi, Daniel JD. J., Neuman, MelissaM., Finlay, Jocelyn EJ. E. and Subramanian, SVS. (2012). Demographic and health surveys: a profile. International Journal of Epidemiology 41 1602–1613
2012
Cited alongside, same era.
2013
Cited alongside, same era.
[author] Gelman, AndrewA., Carlin, John B.J. B., Stern, Hal S.H. S., Dunson, David B.D. B., Vehtari, AkiA. and Rubin, Donald B.D. B. (2013). Bayesian Data Analysis, third edition. CRC Press
2013
Cited alongside, same era.
[author] Thorarinsdottir, T LT. L., Scheuerer, MM. and Heinz, CC. (2013). Assessing the calibration of high-dimensional ensemble forecasts using rank histograms. Journal of Computational and Graphical Statistics 25 105–122
2013
Cited alongside, same era.
[author] Hoffman, Matthew D.M. D. and Gelman, AndrewA. (2014). The no-U-turn sampler: Adaptively setting path lengths in Hamiltonian Monte Carlo. Journal of Machine Learning Research 15 1351–1381
2014
Cited alongside, same era.
Later among the works it cites.
[author] Rue, HåvardH., Riebler, AndreaA., Sørbye, Sigrunn HS. H., Illian, Janine BJ. B., Simpson, Daniel PD. P. and Lindgren, Finn KF. K. (2017). Bayesian computing with INLA: A review. Annual Review of Statistics and its Application 4 395–421
2017
Later among the works it cites.
[author] Simpson, DanielD., Rue, HåvardH., Riebler, AndreaA., Martins, Thiago GT. G., Sørbye, Sigrunn HS. H. et al. (2017). Penalising model component complexity: A principled, practical approach to constructing priors. Statistical Science 32 1–28
2017
Later among the works it cites.
[author] Central Intelligence Agency (2018). Country comparison :: HIV/AIDS - Adult prevalence rate. World Factbook. https://www.cia.gov/library/publications/the-world-factbook/rankorder/2155rank.html. Accessed: 2018-04-04
2018
Closest in time.
[author] Fuglstad, Geir-ArneG.-A., Simpson, DanielD., Lindgren, FinnF. and Rue, HåvardH. (2019). Constructing priors that penalize the complexity of Gaussian random fields. Journal of the American Statistical Association 114 445–452
2019
Closest in time.
[author] Seppä, K.K., Rue, H.H., Hakulinen, T.T., Läärä, E.E., Sillanpää, M. J.M. J. and Pitkäniemi, J.J. (2019). Estimating multilevel regional variation in excess mortality of cancer patients using integrated nested Laplace approximation. Statistics in Medicine 38 778–791
2019
Closest in time.