A Vine-copula Based Adaptive MCMC Sampler for Efficient Inference of Dynamical Systems is a research paper published in Bayesian Analysis (2013). On theSindex it has a DataRank of 1.5. It has been cited 31 times, with 25 citing works in its 1-hop citation network.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.520
From this paper's citation signal
Citation Network Contribution
0.975
From 19 citing papers with measurable signal
European Commission
Grant: 259294
Modelling latent causes in molecular networks
FWCI
6.23
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals