mlsanityData to 7 Oct 2026

High-dimensional ABC

arXiv 1802.09725 ↗First posted 27 Feb 2018stat.CO stat.ME stat.MLcited by 2

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Feb 2018.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2022: 1; 2023: 1.

2 papers.

  1. 2022Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transportcited by 11
  2. 2023A generative flow for conditional sampling via optimal transportcited by 7