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Title: Polynomial-Chaos-Based Decentralized DynamicParameter Estimation Using Langevin MCMC

Authors:
 [1];  [2];  [1];  [2];  [2]
  1. Virginia Tech
  2. Lawrence Livermore National Laboratory
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1557048
Report Number(s):
LLNL-PROC-759801
947875
DOE Contract Number:  
AC52-07NA27344
Resource Type:
Conference
Resource Relation:
Conference: Atlanta, GA, United States
Country of Publication:
United States
Language:
English
Subject:
Mathematics and Computing

Citation Formats

Xu, Y, Chen, X, Mili, L, Huang, C, and Korkali, M. Polynomial-Chaos-Based Decentralized DynamicParameter Estimation Using Langevin MCMC. United States: N. p., 2018. Web.
Xu, Y, Chen, X, Mili, L, Huang, C, & Korkali, M. Polynomial-Chaos-Based Decentralized DynamicParameter Estimation Using Langevin MCMC. United States.
Xu, Y, Chen, X, Mili, L, Huang, C, and Korkali, M. Fri . "Polynomial-Chaos-Based Decentralized DynamicParameter Estimation Using Langevin MCMC". United States. https://www.osti.gov/servlets/purl/1557048.
@article{osti_1557048,
title = {Polynomial-Chaos-Based Decentralized DynamicParameter Estimation Using Langevin MCMC},
author = {Xu, Y and Chen, X and Mili, L and Huang, C and Korkali, M},
abstractNote = {},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {10}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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