A Software Tool for "Gluing" Distributions
Abstract
When performing Monte-Carlo simulations, distributions are sometimes determined only for sub-intervals of the desired total range. In such cases, a frequent problem is to connect, or glue, individual distributions to obtain the final result. Most prominent examples, where this is usually necessary, are certain large-deviation simulation techniques. However, there are multiple approaches to do this, depending on the data and individual requirements. Here, a software tool is presented, containing multiple algorithms, to aid with this task. An introduction to the available methods is presented together with a short tutorial using exemplary data.
- Publication:
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arXiv e-prints
- Pub Date:
- July 2022
- DOI:
- arXiv:
- arXiv:2207.08429
- Bibcode:
- 2022arXiv220708429W
- Keywords:
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- Physics - Data Analysis;
- Statistics and Probability;
- Physics - Computational Physics
- E-Print:
- 4 pages, 2 figures