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Showing 181 - 200 results of 642 for search '"Markov Chain Monte Carlo"', query time: 0.61s Refine Results
  1. 181
    “...’ lateral variations of the Volgo–Uralian subcraton through the Bayesian Markov Chain Monte Carlo (MCMC...”
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    Dataset
  2. 182
    by Peavoy, D., Franzke, C.
    Published in Climate of the Past (2018)
    “... timescales. A Markov Chain Monte Carlo method is presented to infer the number of states in a latent variable...”
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  3. 183
    “... quantitative background needed to implement them, or because of the computational demands of using Markov Chain...”
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  4. 184
    “... of the observed sites for each month and incorporated into the Bayesian hierarchical model. Markov chain Monte...”
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    Thesis
  5. 185
    “... investigated with Markov chain Monte Carlo simulations based on mtDNA to determine whether population size...”
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  6. 186
    “... of the hypervariable region I using aMarkov chain Monte Carlo integration and a least-squares regression analysis.Our...”
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    Article in Journal/Newspaper
  7. 187
    by Fernández, C., Ley, E., Steel, M.F.J.
    Published 1997
    “... inference will be based on Bayesian model averaging, using a Markov Chain Monte Carlo Model Composition (MC3...”
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    Report
  8. 188
    “... investigated with Markov chain Monte Carlo simulations based on mtDNA to determine whether population size...”
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    Text
  9. 189
    “... effects on the marine ecosystem. Markov-Chain Monte-Carlo simulations revealed that even when isotope data...”
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    Other/Unknown Material
  10. 190
    “..., possibly an intrinsic non‐stationary version. An inhomogeneous Kalman filter Markov chain Monte Carlo...”
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    Article in Journal/Newspaper
  11. 191
    by Konečný, A., Bryja, J. (Josef)
    Published 2012
    “... Chain Monte Carlo (MCMC) methods. Nevertheless, ABC allows greater model complexity, especially...”
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    Other/Unknown Material
  12. 192
    by Parton, A., Blackwell, P.G., Skarin, A.
    Published 2017
    “... inference for such models is described through the use of a Markov chain Monte Carlo approach...”
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    Report
  13. 193
    “... parameters are estimated using Markov chain Monte Carlo sampling, specifically a Metropolis Hastings...”
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    Article in Journal/Newspaper
  14. 194
    “... Markov-Chain Monte Carlo to sample from the joint distribution over all possible layers conditioned...”
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    Text
  15. 195
    “... Markov-Chain Monte Carlo to sample from the joint distribution over all possible layers conditioned...”
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    Text
  16. 196
    by Ognev, Igor, Nurgaliev, Danis
    Published 2022
    “...’ lateral variations of the Volgo–Uralian subcraton through the Bayesian Markov Chain Monte Carlo (MCMC...”
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    Dataset
  17. 197
    “...). The methodology is implemented in a Markov Chain Monte Carlo framework to assess the uncertainties arisen from...”
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    Article in Journal/Newspaper
  18. 198
    “... Markov Chain Monte Carlo algorithm to sample the unknown posterior distribution, which describes...”
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    Text
  19. 199
    by Gimenez, Olivier
    Published 2020
    “... in occupancy. Using the Nimble R package, we employ a fully Bayesian approach using Markov chain Monte Carlo...”
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    Conference Object
  20. 200
    by Smith, B R, Herbinger, C M, Merry, H R
    Published 2001
    “...Two Markov chain Monte Carlo algorithms are proposed that allow the partitioning of individuals...”
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