
handle: 11584/255227
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Bayesian model checking, conditioning statistics, Gibbs sampling, Metropolis-hastings, conditioning set, Bayesian inference, Numerical analysis or methods applied to Markov chains, partial posterior predictive distribution, Bayesian model checking; conditioning set; conditioning statistics; gibbs sampling; metropolis-hastings; partial posterior predictive distribution; statistics and probability; computational mathematics; computational theory and mathematics; applied mathematics
Bayesian model checking, conditioning statistics, Gibbs sampling, Metropolis-hastings, conditioning set, Bayesian inference, Numerical analysis or methods applied to Markov chains, partial posterior predictive distribution, Bayesian model checking; conditioning set; conditioning statistics; gibbs sampling; metropolis-hastings; partial posterior predictive distribution; statistics and probability; computational mathematics; computational theory and mathematics; applied mathematics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 5 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
