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Non-Uniform Random Variate Generation
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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
Cited by
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
A nonparametric method for automatic correction of intensity nonuniformity in MRI data
Sled, J. G., Zijdenbos, A. P., & Evans, A. C. (1998) · IEEE Transactions on Medical Imaging · doi:10.1109/42.668698 · Cited by 4,731
Simulation Study of Confounder-Selection Strategies
Maldonado, G., & Greenland, S. (1993) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a116813 · Cited by 2,491
Bayesian computation via the Gibbs sampler and related Markov chain Monte Carlo methods
Smith, A. F. M., & Roberts, G. O. (1993) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1993.tb01466.x · Cited by 1,713
Group representations in probability and statistics
Diaconis, P. (1988) · doi:10.1214/lnms/1215467407 · Cited by 1,381
Estimating Risk Preferences from Deductible Choice
Cohen, A., & Einav, L. (2007) · American Economic Review · doi:10.1257/aer.97.3.745 · Cited by 708
Criminisi, A., Shotton, J., & Konukoglu, E. (2012) · Foundations and Trends® in Computer Graphics and Vision · doi:10.1561/0600000035 · Cited by 677
Task Space Regions: A framework for pose-constrained manipulation planning
Berenson, D., Srinivasa, S., & Kuffner, J. (2011) · The International Journal of Robotics Research · doi:10.1177/0278364910396389 · Cited by 368
Insights into the genetic architecture of the human face
White, J. D., Indencleef, K., Naqvi, S., Eller, R. J., Hoskens, H., Roosenboom, J., Lee, M. K., Li, J., Mohammed, J., Richmond, S., et al. (2021) · Nature Genetics · doi:10.1038/s41588-020-00741-7 · Cited by 166
Probability distributions of molecular observables computed from Markov models
Noé, F. (2008) · The Journal of Chemical Physics · doi:10.1063/1.2916718 · Cited by 135
How to remove or control confounds in predictive models, with applications to brain biomarkers
Chyzhyk, D., Varoquaux, G., Milham, M., & Thirion, B. (2022) · GigaScience · doi:10.1093/gigascience/giac014 · Cited by 65
Elliot, M. G., & Mooers, A. Ø. (2014) · BMC Evolutionary Biology · doi:10.1186/s12862-014-0226-8 · Cited by 72
Infraslow oscillations in human sleep spindle activity
Lázár, Z. I., Dijk, D.-J., & Lázár, A. S. (2019) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2018.12.002 · Cited by 49
Weighted Random Sampling: 2005; Efraimidis, Spirakis
Efraimidis, P., & Spirakis, P. (2008) · Encyclopedia of Algorithms · doi:10.1007/978-0-387-30162-4_478 · Cited by 45
Lamboni, M., & Kucherenko, S. (2021) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2021.107519 · Cited by 44
Botella, C., Joly, A., Bonnet, P., Munoz, F., & Monestiez, P. (2021) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13565 · Cited by 17
MergeShuffle: A Very Fast, Parallel Random Permutation Algorithm
Bacher, A., Bodini, O., Hollender, A., & Lumbroso, J. (2015) · arXiv · doi:10.48550/arxiv.1508.03167 · Cited by 18
A Bayesian study for the comparison of generalized gamma model with its components
Mukherjee, B., Gupta, A., & Upadhyay, S. K. (2010) · Sankhya B · doi:10.1007/s13571-011-0006-z · Cited by 15
Pseudo-Random Generator based on a Photonic Neuromorphic Physical Unclonable Function
Dermanis, D., Rizomiliotis, P., Bogris, A., & Mesaritakis, C. (2024) · arXiv · doi:10.48550/arxiv.2402.14876 · Cited by 4
Metadata
- Authors
- Devroye, L.
- Venue
- Springer eBooks
- Publisher
- Springer New York
- Published
- 1986
- OpenAlex
- W2152828142
- Cited by
- 4,041
- References
- 1
- FWCI
- 12.85
- Type
- book
- Language
- en
- Open access
- closed
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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.
