The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling
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Article Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling was published on March 1, 2009 in the journal International Journal of Nonlinear Sciences and Numerical Simulation (volume 10, issue 3).
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Cites
Equation of State Calculations by Fast Computing Machines
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953) · The Journal of Chemical Physics · doi:10.1063/1.1699114 · Cited by 37,192
Sampling-based approaches to calculating marginal densities
Gelfand, A. E., & Smith, A. F. M. (1990) · Journal of the American Statistical Association · doi:10.1080/01621459.1990.10476213 · Cited by 6,606
Weak convergence and optimal scaling of random walk Metropolis algorithms
Roberts, G. O., Gelman, A., & Gilks, W. R. (1997) · The Annals of Applied Probability · doi:10.1214/aoap/1034625254 · Cited by 1,693
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Spread and dynamics of the COVID-19 epidemic in Italy: Effects of emergency containment measures
Gatto, M., Bertuzzo, E., Mari, L., Miccoli, S., Carraro, L., Casagrandi, R., & Rinaldo, A. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2004978117 · Cited by 1,051
Dealing with uncertainty in model updating for damage assessment: a review
Simoen, E., De Roeck, G., & Lombaert, G. (2015) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2014.11.001 · Cited by 540
Global hydrology 2015: State, trends, and directions
Bierkens, M. F. P. (2015) · Water Resources Research · doi:10.1002/2015wr017173 · Cited by 493
Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling?
Vrugt, J. A., ter Braak, C. J. F., Gupta, H. V., & Robinson, B. A. (2009) · Stochastic Environmental Research and Risk Assessment · doi:10.1007/s00477-008-0274-y · Cited by 455
Self-citationAskarizadeh, A., Rippy, M. A., Fletcher, T. D., Feldman, D. L., Peng, J., Bowler, P., Mehring, A. S., Winfrey, B. K., Vrugt, J. A., AghaKouchak, A., et al. (2015) · Environmental Science & Technology · doi:10.1021/acs.est.5b01635 · Cited by 162
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Metadata
- Authors
- Vrugt, J. A., ter Braak, C. J. F., Diks, C. G. H., Robinson, B. A., Hyman, J. M., & Higdon, D.
- Venue
- International Journal of Nonlinear Sciences and Numerical Simulation
- Publisher
- Walter de Gruyter GmbH
- Published
- 2009-01
- Volume
- 10
- Issue
- 3
- ISSN
- 1565-1339 (ISSN-L)
- 2191-0294
- OpenAlex
- W2119179880
- Cited by
- 1,145
- References
- 3
- FWCI
- 30.61
- Type
- journal article
- Language
- en
- Open access
- green
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- The paper
- Vrugt, J. A., ter Braak, C. J. F., Diks, C. G. H., Robinson, B. A., Hyman, J. M., & Higdon, D. (2009). Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling. International Journal of Nonlinear Sciences and Numerical Simulation. https://doi.org/10.1515/ijnsns.2009.10.3.273
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
