pith. machine review for the scientific record. sign in

arxiv: 1802.09720 · v1 · submitted 2018-02-27 · 📊 stat.CO · stat.ME· stat.ML

Recognition: unknown

Overview of Approximate Bayesian Computation

Authors on Pith no claims yet
classification 📊 stat.CO stat.MEstat.ML
keywords approximatebayesiancomputationchapteroverviewappearbehindconcepts
0
0 comments X
read the original abstract

This Chapter, "Overview of Approximate Bayesian Computation", is to appear as the first chapter in the forthcoming Handbook of Approximate Bayesian Computation (2018). It details the main ideas and concepts behind ABC methods with many examples and illustrations.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Machine Learning Techniques for Astrophysics and Cosmology: Simulation-Based Inference

    astro-ph.CO 2026-05 unverdicted novelty 2.0

    Simulation-based inference uses neural networks trained on simulations to enable parameter inference in cosmology and astrophysics where traditional likelihood calculations are intractable.