Overview of Approximate Bayesian Computation
arXiv:1802.09720v152 citations
AI Analysis
It serves as an introductory chapter for a handbook, targeting researchers and practitioners in statistics and machine learning, but is incremental as it summarizes existing knowledge.
The paper provides an overview of Approximate Bayesian Computation (ABC) methods, detailing their main ideas and concepts with examples and illustrations.
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.