2012
DOI: 10.1080/00949655.2012.729588
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A Hellinger distance approach to MCMC diagnostics

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Cited by 34 publications
(28 citation statements)
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“…Convergence and mixing were checked by visual inspection of the resulting trace files for all estimated parameters, and by calculating the effective sample sizes (i.e., the number of independent samples) and the Hellinger distance (Boone et al, 2014) between sets of 1000 batched recorded samples. Effective sample sizes were generally larger than 1000 for all parameters, and…”
Section: Mcmc Modelmentioning
confidence: 99%
“…Convergence and mixing were checked by visual inspection of the resulting trace files for all estimated parameters, and by calculating the effective sample sizes (i.e., the number of independent samples) and the Hellinger distance (Boone et al, 2014) between sets of 1000 batched recorded samples. Effective sample sizes were generally larger than 1000 for all parameters, and…”
Section: Mcmc Modelmentioning
confidence: 99%
“…We checked the Hellinger distance statistic (Boone et al. ) to confirm model convergence. Data and the JAGS model code are provided at https://github.com/cbrown5/BenthicLatent.…”
Section: Methodsmentioning
confidence: 99%
“…We used only a single chain to avoid issues with sign switching on the latent variables (Hui 2016). We checked the Hellinger distance statistic (Boone et al 2014) to confirm model convergence. Data and the JAGS model code are provided at https://github.com/cbrown5/BenthicLatent.…”
Section: Case Studymentioning
confidence: 99%
“…We used only a single chain to avoid issues with parameter switching on the latent variables (Hui 2016). We checked the Hellinger distance statistic (Boone et al 2014) to confirm model convergence. Data are provided in Appendices S1-3, JAGS model code is provided in Appendix S4.…”
Section: Estimating the Footprint Of Pollution On Coral Reefs Using Mmentioning
confidence: 99%