An initial exploration of Bayesian model calibration for estimating the composition of rocks and soils on Mars-Reference-Cited by-同舟云学术

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An initial exploration of Bayesian model calibration for estimating the composition of rocks and soils on Mars

Published:2021-03-06 Issue:6 Volume:14 Page:596-605
ISSN:1932-1864
Container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal
language:en
Short-container-title:Stat Anal Data Min: The ASA Data Sci Journal

Author:

Hébert Claire‐Alice¹^ORCID,Lawrence Earl²,Myers Kary²,Colgan James P.³,Judge Elizabeth J.⁴

Affiliation:

1. Department of Applied Physics Stanford University Stanford California USA

2. Statistical Sciences Los Alamos National Laboratory Los Alamos New Mexico USA

3. Physics and Chemistry of Materials Los Alamos National Laboratory Los Alamos New Mexico USA

4. Chemical Diagnostics and Engineering Los Alamos National Laboratory Los Alamos New Mexico USA

Funder

Los Alamos National Laboratory

U.S. Department of Energy

Publisher

Wiley

Subject

Computer Science Applications,Information Systems,Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sam.11503

Reference19 articles.

1. Application of the Approximate Bayesian Computation Algorithm to Gamma-Ray Spectroscopy

2. Machine learning for analysis of atomic spectral data

3. Multivariate analysis of remote laser-induced breakdown spectroscopy spectra using partial least squares, principal component analysis, and related techniques

4. J.Colgan et al.ATOMIC simulations and experimental data for sodium and copper mixtures 2020.https://doi.org/10.25583/1616321.

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