DOI Access for Optimal Bayesian Experimental...
URL: https://doi.org/10.18434/M32230
Dataset description:
Python module 'optbayesexpt' uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters. Given an parametric...
Source: Optimal Bayesian Experimental Design Version 1.0.1
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Additional Information
| Field | Value |
|---|---|
| Data last updated | March 11, 2021 |
| Metadata last updated | September 24, 2025 |
| Created | March 11, 2021 |
| Format | unknown |
| License | other-license-specified |
| Datastore active | False |
| Has views | False |
| Id | d1416d2c-11ca-4c73-83c8-22ad36e5bb92 |
| Package id | 14ff289b-3e71-4a59-8cef-88147d55befe |
| Position | 1 |
| State | active |