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    • Scripts, data and plotting for "Simplified algorithms for adaptive experiment design in parameter estimation" v.2

    Metadata Updated: July 29, 2022

    Examples of adaptive measurement protocols using optimal Bayesian experiment design. This dataset supports "Simplified algorithms for adaptive experiment design in parameter estimation", arXiv 2202.08344 and submitted to Physical Review Applied. The calculations use python package optbayesexpt, which is available from https://github.com/usnistgov/optbayesexpt. The software applies to measurements of parameters in nonlinear parametric models. In the adaptive protocol, Incoming data influences parameter distributions via Bayesian inference and the parameter distribution influences predictions of the impact of future measurements.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: See this page for license information.

    Downloads & Resources

    References

    https://arxiv.org/abs/2202.08344
    https://doi.org/10.6028/jres.126.002
    https://pages.nist.gov/optbayesexpt

    Dates

    Metadata Created Date July 29, 2022
    Metadata Updated Date July 29, 2022
    Data Update Frequency irregular

    Metadata Source

    Harvested from NIST

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date July 29, 2022
    Metadata Updated Date July 29, 2022
    Publisher National Institute of Standards and Technology
    Maintainer
    Identifier ark:/88434/mds2-2585
    Data First Published 2022-07-06
    Language en
    Data Last Modified 2022-03-08 00:00:00
    Category Mathematics and Statistics:Experiment design, Mathematics and Statistics:Numerical methods and software
    Public Access Level public
    Data Update Frequency irregular
    Bureau Code 006:55
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Harvest Object Id 795165ef-fb2d-4887-a576-0f19260b6ae3
    Harvest Source Id 74e175d9-66b3-4323-ac98-e2a90eeb93c0
    Harvest Source Title NIST
    Homepage URL https://data.nist.gov/od/id/mds2-2585
    License https://www.nist.gov/open/license
    Program Code 006:045
    Related Documents https://arxiv.org/abs/2202.08344, https://doi.org/10.6028/jres.126.002, https://pages.nist.gov/optbayesexpt
    Source Datajson Identifier True
    Source Hash 693cd76b8fc71b13a3bb1a69a25fe3b58632d4ff
    Source Schema Version 1.1

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