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A Guide to General-Purpose ABC Software
| Content Provider | Scilit |
|---|---|
| Author | Kousathanas, Athanasios Duchen, Pablo Wegmann, Daniel |
| Copyright Year | 2018 |
| Description | This chapter focuses on general purpose approximate Bayesian computation (ABC) software designed to be helpful in a large array of ABC applications, either to conduct the whole analysis pipeline or at least specific parts of it. It discusses two similar ABC pipelines, one provided through the command line program ABCtoolbox, and the other by means of combining the two R packages abc and EasyABC. The chapter uses rather simple models and always gives a detailed description of all settings used, along with all the code required to replicate the described analyses. It focuses on the file with tag BestSimsParamStats, which contains the retained simulations and is used to plot the rejection posterior. The chapter illustrates how to use the program ABCtoolbox, as well as the R package EasyABC to automate and streamline the simulation process and to perform more sophisticated ABC techniques, such as ABC-Markov chain Monte Carlo (MCMC). This chapter focuses on general purpose approximate Bayesian computation (ABC) software designed to be helpful in a large array of ABC applications, either to conduct the whole analysis pipeline or at least specific parts of it. It discusses two similar ABC pipelines, one provided through the command line program ABCtoolbox, and the other by means of combining the two R packages abc and EasyABC. The chapter uses rather simple models and always gives a detailed description of all settings used, along with all the code required to replicate the described analyses. It focuses on the file with tag BestSimsParamStats, which contains the retained simulations and is used to plot the rejection posterior. The chapter illustrates how to use the program ABCtoolbox, as well as the R package EasyABC to automate and streamline the simulation process and to perform more sophisticated ABC techniques, such as ABC-Markov chain Monte Carlo (MCMC). Book Name: Handbook of Approximate Bayesian Computation |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2011-0-05316-1&isbn=9781315117195&format=googlePreviewPdf |
| Ending Page | 413 |
| Page Count | 45 |
| Starting Page | 369 |
| DOI | 10.1201/9781315117195-13 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2018-09-03 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Handbook of Approximate Bayesian Computation Package Easyabc Program Abctoolbox Similar Abc Monte Carlo Markov Chain Chapter Focuses |
| Content Type | Text |
| Resource Type | Chapter |
