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Fox, Matthew, Ickert, Ryan B. (2015) Model selection during sample-standard-bracketing using reversible jump Markov chain Monte Carlo. Journal of Analytical Atomic Spectrometry, 30 (10). 2208-2213 doi:10.1039/c5ja00102a

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Reference TypeJournal (article/letter/editorial)
TitleModel selection during sample-standard-bracketing using reversible jump Markov chain Monte Carlo
JournalJournal of Analytical Atomic Spectrometry
AuthorsFox, MatthewAuthor
Ickert, Ryan B.Author
Year2015Volume30
Issue10
PublisherRoyal Society of Chemistry (RSC)
DOIdoi:10.1039/c5ja00102aSearch in ResearchGate
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Mindat Ref. ID5342806Long-form Identifiermindat:1:5:5342806:6
GUID0
Full ReferenceFox, Matthew, Ickert, Ryan B. (2015) Model selection during sample-standard-bracketing using reversible jump Markov chain Monte Carlo. Journal of Analytical Atomic Spectrometry, 30 (10). 2208-2213 doi:10.1039/c5ja00102a
Plain TextFox, Matthew, Ickert, Ryan B. (2015) Model selection during sample-standard-bracketing using reversible jump Markov chain Monte Carlo. Journal of Analytical Atomic Spectrometry, 30 (10). 2208-2213 doi:10.1039/c5ja00102a
In(2015) Journal of Analytical Atomic Spectrometry Vol. 30 (10) Royal Society of Chemistry (RSC)

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Oh, Man-Suk, Shin, Dong Wan (2002) Bayesian model selection and parameter estimation for possibly asymmetric and non-stationary time series using a reversible jump Markov chain Monte Carlo approach. Journal of Applied Statistics, 29 (5). 771-789 doi:10.1080/02664760120098829
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Bouranis, Lampros, Friel, Nial, Maire, Florian (2018) Model comparison for Gibbs random fields using noisy reversible jump Markov chain Monte Carlo. Computational Statistics & Data Analysis, 128. 221-241 doi:10.1016/j.csda.2018.07.005
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Farr, W. M., Mandel, I., Stevens, D. (2015) An efficient interpolation technique for jump proposals in reversible-jump Markov chain Monte Carlo calculations. Royal Society Open Science, 2 (6). 150030pp. doi:10.1098/rsos.150030
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Luo, Xiaolin (2010) Constraining the shape of a gravity anomalous body using reversible jump Markov chain Monte Carlo. Geophysical Journal International, 180 (3) 1067-1079 doi:10.1111/j.1365-246x.2009.04479.x
Miyazaki, Takashi, Kimura, Jun-Ichi, Chang, Qing (2014) Analysis of stable isotope ratios of Ba by double-spike standard-sample bracketing using multiple-collector inductively coupled plasma mass spectrometry. Journal of Analytical Atomic Spectrometry, 29 (3). 483pp. doi:10.1039/c3ja50311a
Ribatet, M., Sauquet, E., Grésillon, J. M., Ouarda, T. B. M. J. (2007) Usefulness of the reversible jump Markov chain Monte Carlo model in regional flood frequency analysis. Water Resources Research, 43 (8). doi:10.1029/2006wr005525
Bandyopadhyay, S. (2005) Simulated annealing using a reversible jump Markov chain Monte Carlo algorithm for fuzzy clustering. IEEE Transactions on Knowledge and Data Engineering, 17 (4) 479-490 doi:10.1109/tkde.2005.64
 
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