Pith. sign in

REVIEW

High-dimensional ABC

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1802.09725 v1 pith:CTLH4AW5 submitted 2018-02-27 stat.CO stat.MEstat.ML

D. J. Nott , V. M.-H. Ong , Y. Fan , S. A. Sisson This is my paper · ORCID
classification stat.COstat.MEstat.ML
keywords high-dimensionalappearapproximatebayesianbehindchaptercomputationconcepts
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

This Chapter, "High-dimensional ABC", is to appear in the forthcoming Handbook of Approximate Bayesian Computation (2018). It details the main ideas and concepts behind extending ABC methods to higher dimensions, with supporting examples and illustrations.

Discussion (0). Continue with ORCID to comment.

Pith tools