Scalable Approximate Bayesian Computation for Growing Network Models via Extrapolated and Sampled Summaries is a research paper published in Teknik Dergi (2020). On theSindex it has a DataRank of 0.208. It has been cited 3 times.
Scored on demand from live citation data
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Base Score Contribution
0.208
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →NIAID NIH HHS
Grant: R01 AI112339
Swiss National Science Foundation
Grant: 156229
NIAID NIH HHS
Grant: R37 AI051164
NIAID NIH HHS
Grant: R01 AI138901
NIGMS NIH HHS
Grant: U54 GM088558
NIAID NIH HHS
Grant: T32 AI007535
NIMH NIH HHS
Grant: T32 MH017119
NHGRI NIH HHS
Grant: U01 HG009088
Swiss National Science Foundation
Grant: 105218
Keywords