Approximate Bayesian Computation Design (ABCD), an Introduction

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Abstract

In this paper, we propose a new technique of generating optimal designs by means of simulation. The method combines ideas from approximate Bayesian computation and optimal design of experiments and allows great flexibility in the employed criteria and models. We illustrate the idea by a simple expository example.
Original languageEnglish
Title of host publicationmODa 10 – Advances in Model-Oriented Design and Analysis, Proceedings of the 10th International Workshop in Model-Oriented Design and Analysis Held in Łagów Lubuski, Poland, June 10–14, 2013
Editors Ucinski, Dariusz; Atkinson, Anthony C.; Patan, Maciej
PublisherSpringer
Pages135-143
Number of pages9
Publication statusPublished - 2013

Publication series

NameContributions to Statistics, Springer International Publishing

Fields of science

  • 102009 Computer simulation
  • 101018 Statistics
  • 101 Mathematics
  • 103 Physics, Astronomy
  • 105 Geosciences
  • 305 Other Human Medicine, Health Sciences
  • 504 Sociology
  • 106 Biology
  • 502 Economics
  • 509 Other Social Sciences

JKU Focus areas

  • Computation in Informatics and Mathematics

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