{"@type": "dcat:Dataset", "accessLevel": "public", "accrualPeriodicity": "irregular", "bureauCode": ["006:55"], "contactPoint": {"fn": "Robert D. McMichael", "hasEmail": "mailto:robert.mcmichael@nist.gov"}, "description": "Python module 'optbayesexpt' uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters.  Given an parametric model - analogous to a fitting function - Bayesian inference uses each measurement 'data point' to refine model parameters.  Using this information, the software suggests measurement settings that are likely to efficiently reduce uncertainties.   A TCP socket interface allows the software to be used from experimental control software written in other programming languages. Code is developed in Python, and shared via GitHub's USNISTGOV organization.", "distribution": [{"description": "Special instructions for reviewers", "downloadURL": "https://data.nist.gov/od/ds/mds2-2908/Review%20README.txt", "format": "plain text", "mediaType": "text/plain", "title": "README"}, {"description": "Zip file of ORE Repo", "downloadURL": "https://data.nist.gov/od/ds/mds2-2908/obe-repo.zip", "format": "ZIP", "mediaType": "application/gzip", "title": "ORE Repo Files"}, {"description": "Zip with files from NIST pages", "downloadURL": "https://data.nist.gov/od/ds/mds2-2908/nist-pages.zip", "format": "ZIP", "mediaType": "application/gzip", "title": "NIST Pages Files"}], "identifier": "ark:/88434/mds2-2908", "issued": "2023-02-22", "keyword": ["Bayesian", "GitHub pages template", "adaptive measurement", "experimental design", "optbayesexpt", "python"], "landingPage": "https://pages.nist.gov/optbayesexpt/", "language": ["en"], "license": "https://www.nist.gov/open/license", "modified": "2023-01-10 00:00:00", "programCode": ["006:045"], "publisher": {"@type": "org:Organization", "name": "National Institute of Standards and Technology"}, "theme": ["Mathematics and Statistics:Experiment design"], "title": "Optimal Bayesian Experimental Design Version 1.2.0"}