Markov chain Monte Carlo (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Markov chain Monte Carlo" in English language version.

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29doi.org

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10arxiv.org

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acm.org

dl.acm.org

Song, Yang; Ermon, Stefano (2019-12-08), "Generative modeling by estimating gradients of the data distribution", Proceedings of the 33rd International Conference on Neural Information Processing Systems, no. 1067, Red Hook, NY, USA: Curran Associates Inc., pp. 11918–11930, retrieved 2025-04-28
Song, Yang; Ermon, Stefano (2020-12-06). "Improved techniques for training score-based generative models". Proceedings of the 34th International Conference on Neural Information Processing Systems. NIPS '20. Red Hook, NY, USA: Curran Associates Inc.: 12438–12448. ISBN 978-1-7138-2954-6.
Heidelberger, Philip; Welch, Peter D. (1981-04-01). "A spectral method for confidence interval generation and run length control in simulations". Commun. ACM. 24 (4): 233–245. doi:10.1145/358598.358630. ISSN 0001-0782.

annualreviews.org

Roy, Vivekananda (2020-03-07). "Convergence Diagnostics for Markov Chain Monte Carlo". Annual Review of Statistics and Its Application. 7 (1): 387–412. arXiv:1909.11827. Bibcode:2020AnRSA...7..387R. doi:10.1146/annurev-statistics-031219-041300. ISSN 2326-8298.

arxiv.org

Robert, Christian; Casella, George (2011). "A short history of Markov chain Monte Carlo: Subjective recollections from incomplete data". Statistical Science. 26 (1): 102–115. arXiv:0808.2902. doi:10.1214/10-STS351.
Papaspiliopoulos, Omiros; Roberts, Gareth O.; Sköld, Martin (2007). "A general framework for the parametrization of hierarchical models". Statistical Science. 22 (1). Institute of Mathematical Statistics: 59–73. arXiv:0708.3797. doi:10.1214/088342307000000014.
Óli Páll Geirsson, Birgir Hrafnkelsson, and Helgi Sigurðarson (2015). "A Block Gibbs Sampling Scheme for Latent Gaussian Models." arXiv preprint [arXiv:1506.06285](https://arxiv.org/abs/1506.06285).
Lee, Se Yoon (2021). "Gibbs sampler and coordinate ascent variational inference: A set-theoretical review". Communications in Statistics - Theory and Methods. 51 (6): 1–21. arXiv:2008.01006. doi:10.1080/03610926.2021.1921214. S2CID 220935477.
Del Moral, Pierre (2006). "Sequential Monte Carlo samplers". Journal of the Royal Statistical Society. Series B (Statistical Methodology). 68 (3): 411–436. arXiv:cond-mat/0212648. doi:10.1111/j.1467-9868.2006.00553.x. S2CID 12074789.
Chen, S.; Dick, Josef; Owen, Art B. (2011). "Consistency of Markov chain quasi-Monte Carlo on continuous state spaces". Annals of Statistics. 39 (2): 673–701. arXiv:1105.1896. doi:10.1214/10-AOS831.
Kasim, M.F.; Bott, A.F.A.; Tzeferacos, P.; Lamb, D.Q.; Gregori, G.; Vinko, S.M. (September 2019). "Retrieving fields from proton radiography without source profiles". Physical Review E. 100 (3): 033208. arXiv:1905.12934. Bibcode:2019PhRvE.100c3208K. doi:10.1103/PhysRevE.100.033208. PMID 31639953. S2CID 170078861.
Roy, Vivekananda (2020-03-07). "Convergence Diagnostics for Markov Chain Monte Carlo". Annual Review of Statistics and Its Application. 7 (1): 387–412. arXiv:1909.11827. Bibcode:2020AnRSA...7..387R. doi:10.1146/annurev-statistics-031219-041300. ISSN 2326-8298.
Foreman-Mackey, Daniel; Hogg, David W.; Lang, Dustin; Goodman, Jonathan (2013-11-25). "emcee: The MCMC Hammer". Publications of the Astronomical Society of the Pacific. 125 (925): 306–312. arXiv:1202.3665. Bibcode:2013PASP..125..306F. doi:10.1086/670067. S2CID 88518555.
Phan, Du; Pradhan, Neeraj; Jankowiak, Martin (2019-12-24). "Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro". arXiv:1912.11554 [stat.ML].

cmu.edu

iiif.library.cmu.edu

Papageorgiou, Anargyros; Traub, Joseph (1996). "Beating Monte Carlo" (PDF). Risk. 9 (6): 63–65.

crcpress.com

Del Moral, Pierre (2013). Mean field simulation for Monte Carlo integration. Chapman & Hall/CRC Press. p. 626.

doi.org

Robert, Christian; Casella, George (2011). "A short history of Markov chain Monte Carlo: Subjective recollections from incomplete data". Statistical Science. 26 (1): 102–115. arXiv:0808.2902. doi:10.1214/10-STS351.
Papaspiliopoulos, Omiros; Roberts, Gareth O.; Sköld, Martin (2007). "A general framework for the parametrization of hierarchical models". Statistical Science. 22 (1). Institute of Mathematical Statistics: 59–73. arXiv:0708.3797. doi:10.1214/088342307000000014.
Haario, Heikki; Saksman, Eero; Tamminen, Johanna (2001). "An adaptive Metropolis algorithm". Bernoulli. 7 (2): 223–242. doi:10.2307/3318737. JSTOR 3318737.
Siddhartha Chib and Srikanth Ramamurthy (2009). "Tailored Randomized Block MCMC Methods with Application to DSGE Models." *Journal of Econometrics*, 155(1), 19–38. doi:10.1016/j.jeconom.2009.08.003
Piero Barone, Giovanni Sebastiani, and Jonathan Stander (2002). "Over-relaxation methods and coupled Markov chains for Monte Carlo simulation." Statistics and Computing, 12(1), 17–26. doi:10.1023/A:1013112103963
Geman, Stuart; Geman, Donald (November 1984). "Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images". IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-6 (6): 721–741. doi:10.1109/TPAMI.1984.4767596. ISSN 0162-8828. PMID 22499653. S2CID 5837272.
Gilks, W. R.; Wild, P. (1992-01-01). "Adaptive Rejection Sampling for Gibbs Sampling". Journal of the Royal Statistical Society. Series C (Applied Statistics). 41 (2): 337–348. doi:10.2307/2347565. JSTOR 2347565.
Gilks, W. R.; Best, N. G.; Tan, K. K. C. (1995-01-01). "Adaptive Rejection Metropolis Sampling within Gibbs Sampling". Journal of the Royal Statistical Society. Series C (Applied Statistics). 44 (4): 455–472. doi:10.2307/2986138. JSTOR 2986138.
Lee, Se Yoon (2021). "Gibbs sampler and coordinate ascent variational inference: A set-theoretical review". Communications in Statistics - Theory and Methods. 51 (6): 1–21. arXiv:2008.01006. doi:10.1080/03610926.2021.1921214. S2CID 220935477.
Del Moral, Pierre; Miclo, Laurent (2000). "Branching and Interacting Particle Systems Approximations of Feynman-Kac Formulae with Applications to Non-Linear Filtering". In Jacques Azéma; Michel Ledoux; Michel Émery; Marc Yor (eds.). Séminaire de Probabilités XXXIV (PDF). Lecture Notes in Mathematics. Vol. 1729. pp. 1–145. doi:10.1007/bfb0103798. ISBN 978-3-540-67314-9.
Del Moral, Pierre (2006). "Sequential Monte Carlo samplers". Journal of the Royal Statistical Society. Series B (Statistical Methodology). 68 (3): 411–436. arXiv:cond-mat/0212648. doi:10.1111/j.1467-9868.2006.00553.x. S2CID 12074789.
Sobol, Ilya M (1998). "On quasi-monte carlo integrations". Mathematics and Computers in Simulation. 47 (2): 103–112. doi:10.1016/s0378-4754(98)00096-2.
Chen, S.; Dick, Josef; Owen, Art B. (2011). "Consistency of Markov chain quasi-Monte Carlo on continuous state spaces". Annals of Statistics. 39 (2): 673–701. arXiv:1105.1896. doi:10.1214/10-AOS831.
L'Ecuyer, P.; Lécot, C.; Tuffin, B. (2008). "A Randomized Quasi-Monte Carlo Simulation Method for Markov Chains" (PDF). Operations Research. 56 (4): 958–975. doi:10.1287/opre.1080.0556.
L'Ecuyer, P.; Munger, D.; Lécot, C.; Tuffin, B. (2018). "Sorting Methods and Convergence Rates for Array-RQMC: Some Empirical Comparisons". Mathematics and Computers in Simulation. 143: 191–201. doi:10.1016/j.matcom.2016.07.010.
Kasim, M.F.; Bott, A.F.A.; Tzeferacos, P.; Lamb, D.Q.; Gregori, G.; Vinko, S.M. (September 2019). "Retrieving fields from proton radiography without source profiles". Physical Review E. 100 (3): 033208. arXiv:1905.12934. Bibcode:2019PhRvE.100c3208K. doi:10.1103/PhysRevE.100.033208. PMID 31639953. S2CID 170078861.
Gupta, Ankur; Rawlings, James B. (April 2014). "Comparison of Parameter Estimation Methods in Stochastic Chemical Kinetic Models: Examples in Systems Biology". AIChE Journal. 60 (4): 1253–1268. Bibcode:2014AIChE..60.1253G. doi:10.1002/aic.14409. PMC 4946376. PMID 27429455.
Jia, Xun; Ziegenhein, Peter; Jiang, Steve B. (2014-02-21). "GPU-based high-performance computing for radiation therapy". Physics in Medicine and Biology. 59 (4): R151–182. Bibcode:2014PMB....59R.151J. doi:10.1088/0031-9155/59/4/R151. ISSN 1361-6560. PMC 4003902. PMID 24486639.
Rogers, D. W. O. (July 2006). "REVIEW: Fifty years of Monte Carlo simulations for medical physics". Physics in Medicine and Biology. 51 (13): R287 – R301. Bibcode:2006PMB....51R.287R. doi:10.1088/0031-9155/51/13/R17. ISSN 0031-9155. PMID 16790908.
Hinton, Geoffrey E. (2002-08-01). "Training Products of Experts by Minimizing Contrastive Divergence". Neural Computation. 14 (8): 1771–1800. doi:10.1162/089976602760128018. ISSN 0899-7667. PMID 12180402.
Vincent, Pascal (July 2011). "A Connection Between Score Matching and Denoising Autoencoders". Neural Computation. 23 (7): 1661–1674. doi:10.1162/NECO_a_00142. ISSN 0899-7667. PMID 21492012.
Cowles, M.K.; Carlin, B.P. (1996). "Markov chain Monte Carlo convergence diagnostics: a comparative review". Journal of the American Statistical Association. 91 (434): 883–904. CiteSeerX 10.1.1.53.3445. doi:10.1080/01621459.1996.10476956.
Roy, Vivekananda (2020-03-07). "Convergence Diagnostics for Markov Chain Monte Carlo". Annual Review of Statistics and Its Application. 7 (1): 387–412. arXiv:1909.11827. Bibcode:2020AnRSA...7..387R. doi:10.1146/annurev-statistics-031219-041300. ISSN 2326-8298.
Gelman, A.; Rubin, D.B. (1992). "Inference from iterative simulation using multiple sequences (with discussion)" (PDF). Statistical Science. 7 (4): 457–511. Bibcode:1992StaSc...7..457G. doi:10.1214/ss/1177011136.
Geweke, John (1992-08-13), Bernardo, J M; Berger, J O; Dawid, P; Smith, A F M (eds.), "Evaluating the Accuracy of Sampling-Based Approaches to the Calculation of Posterior Moments", Bayesian Statistics 4, Oxford University PressOxford, pp. 169–194, doi:10.1093/oso/9780198522669.003.0010, ISBN 978-0-19-852266-9, retrieved 2025-04-29
Heidelberger, Philip; Welch, Peter D. (1981-04-01). "A spectral method for confidence interval generation and run length control in simulations". Commun. ACM. 24 (4): 233–245. doi:10.1145/358598.358630. ISSN 0001-0782.
Heidelberger, Philip; Welch, Peter D. (1983-12-01). "Simulation Run Length Control in the Presence of an Initial Transient". Operations Research. 31 (6): 1109–1144. doi:10.1287/opre.31.6.1109. ISSN 0030-364X.
Raftery, Adrian E.; Lewis, Steven M. (1992-11-01). "[Practical Markov Chain Monte Carlo]: Comment: One Long Run with Diagnostics: Implementation Strategies for Markov Chain Monte Carlo". Statistical Science. 7 (4). doi:10.1214/ss/1177011143. ISSN 0883-4237.
Foreman-Mackey, Daniel; Hogg, David W.; Lang, Dustin; Goodman, Jonathan (2013-11-25). "emcee: The MCMC Hammer". Publications of the Astronomical Society of the Pacific. 125 (925): 306–312. arXiv:1202.3665. Bibcode:2013PASP..125..306F. doi:10.1086/670067. S2CID 88518555.

duke.edu

stat.duke.edu

Gelman, A.; Rubin, D.B. (1992). "Inference from iterative simulation using multiple sequences (with discussion)" (PDF). Statistical Science. 7 (4): 457–511. Bibcode:1992StaSc...7..457G. doi:10.1214/ss/1177011136.

harvard.edu

ui.adsabs.harvard.edu

Kasim, M.F.; Bott, A.F.A.; Tzeferacos, P.; Lamb, D.Q.; Gregori, G.; Vinko, S.M. (September 2019). "Retrieving fields from proton radiography without source profiles". Physical Review E. 100 (3): 033208. arXiv:1905.12934. Bibcode:2019PhRvE.100c3208K. doi:10.1103/PhysRevE.100.033208. PMID 31639953. S2CID 170078861.
Gupta, Ankur; Rawlings, James B. (April 2014). "Comparison of Parameter Estimation Methods in Stochastic Chemical Kinetic Models: Examples in Systems Biology". AIChE Journal. 60 (4): 1253–1268. Bibcode:2014AIChE..60.1253G. doi:10.1002/aic.14409. PMC 4946376. PMID 27429455.
Jia, Xun; Ziegenhein, Peter; Jiang, Steve B. (2014-02-21). "GPU-based high-performance computing for radiation therapy". Physics in Medicine and Biology. 59 (4): R151–182. Bibcode:2014PMB....59R.151J. doi:10.1088/0031-9155/59/4/R151. ISSN 1361-6560. PMC 4003902. PMID 24486639.
Rogers, D. W. O. (July 2006). "REVIEW: Fifty years of Monte Carlo simulations for medical physics". Physics in Medicine and Biology. 51 (13): R287 – R301. Bibcode:2006PMB....51R.287R. doi:10.1088/0031-9155/51/13/R17. ISSN 0031-9155. PMID 16790908.
Roy, Vivekananda (2020-03-07). "Convergence Diagnostics for Markov Chain Monte Carlo". Annual Review of Statistics and Its Application. 7 (1): 387–412. arXiv:1909.11827. Bibcode:2020AnRSA...7..387R. doi:10.1146/annurev-statistics-031219-041300. ISSN 2326-8298.
Gelman, A.; Rubin, D.B. (1992). "Inference from iterative simulation using multiple sequences (with discussion)" (PDF). Statistical Science. 7 (4): 457–511. Bibcode:1992StaSc...7..457G. doi:10.1214/ss/1177011136.
Foreman-Mackey, Daniel; Hogg, David W.; Lang, Dustin; Goodman, Jonathan (2013-11-25). "emcee: The MCMC Hammer". Publications of the Astronomical Society of the Pacific. 125 (925): 306–312. arXiv:1202.3665. Bibcode:2013PASP..125..306F. doi:10.1086/670067. S2CID 88518555.

ieee.org

ieeexplore.ieee.org

Geman, Stuart; Geman, Donald (November 1984). "Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images". IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-6 (6): 721–741. doi:10.1109/TPAMI.1984.4767596. ISSN 0162-8828. PMID 22499653. S2CID 5837272.
Hinton, Geoffrey E. (2002-08-01). "Training Products of Experts by Minimizing Contrastive Divergence". Neural Computation. 14 (8): 1771–1800. doi:10.1162/089976602760128018. ISSN 0899-7667. PMID 12180402.
Vincent, Pascal (July 2011). "A Connection Between Score Matching and Denoising Autoencoders". Neural Computation. 23 (7): 1661–1674. doi:10.1162/NECO_a_00142. ISSN 0899-7667. PMID 21492012.

informs.org

pubsonline.informs.org

Heidelberger, Philip; Welch, Peter D. (1983-12-01). "Simulation Run Length Control in the Presence of an Initial Transient". Operations Research. 31 (6): 1109–1144. doi:10.1287/opre.31.6.1109. ISSN 0030-364X.

inria.fr

hal.inria.fr

L'Ecuyer, P.; Lécot, C.; Tuffin, B. (2008). "A Randomized Quasi-Monte Carlo Simulation Method for Markov Chains" (PDF). Operations Research. 56 (4): 958–975. doi:10.1287/opre.1080.0556.

jmlr.org

Hyvärinen, Aapo (2005). "Estimation of Non-Normalized Statistical Models by Score Matching". Journal of Machine Learning Research. 6 (24): 695–709. ISSN 1533-7928.

jstor.org

Haario, Heikki; Saksman, Eero; Tamminen, Johanna (2001). "An adaptive Metropolis algorithm". Bernoulli. 7 (2): 223–242. doi:10.2307/3318737. JSTOR 3318737.
Gilks, W. R.; Wild, P. (1992-01-01). "Adaptive Rejection Sampling for Gibbs Sampling". Journal of the Royal Statistical Society. Series C (Applied Statistics). 41 (2): 337–348. doi:10.2307/2347565. JSTOR 2347565.
Gilks, W. R.; Best, N. G.; Tan, K. K. C. (1995-01-01). "Adaptive Rejection Metropolis Sampling within Gibbs Sampling". Journal of the Royal Statistical Society. Series C (Applied Statistics). 44 (4): 455–472. doi:10.2307/2986138. JSTOR 2986138.

mlr.press

proceedings.mlr.press

Song, Yang; Garg, Sahaj; Shi, Jiaxin; Ermon, Stefano (2020-08-06). "Sliced Score Matching: A Scalable Approach to Density and Score Estimation". Proceedings of the 35th Uncertainty in Artificial Intelligence Conference. PMLR: 574–584.

nih.gov

pubmed.ncbi.nlm.nih.gov

Geman, Stuart; Geman, Donald (November 1984). "Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images". IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-6 (6): 721–741. doi:10.1109/TPAMI.1984.4767596. ISSN 0162-8828. PMID 22499653. S2CID 5837272.
Kasim, M.F.; Bott, A.F.A.; Tzeferacos, P.; Lamb, D.Q.; Gregori, G.; Vinko, S.M. (September 2019). "Retrieving fields from proton radiography without source profiles". Physical Review E. 100 (3): 033208. arXiv:1905.12934. Bibcode:2019PhRvE.100c3208K. doi:10.1103/PhysRevE.100.033208. PMID 31639953. S2CID 170078861.
Gupta, Ankur; Rawlings, James B. (April 2014). "Comparison of Parameter Estimation Methods in Stochastic Chemical Kinetic Models: Examples in Systems Biology". AIChE Journal. 60 (4): 1253–1268. Bibcode:2014AIChE..60.1253G. doi:10.1002/aic.14409. PMC 4946376. PMID 27429455.
Jia, Xun; Ziegenhein, Peter; Jiang, Steve B. (2014-02-21). "GPU-based high-performance computing for radiation therapy". Physics in Medicine and Biology. 59 (4): R151–182. Bibcode:2014PMB....59R.151J. doi:10.1088/0031-9155/59/4/R151. ISSN 1361-6560. PMC 4003902. PMID 24486639.
Rogers, D. W. O. (July 2006). "REVIEW: Fifty years of Monte Carlo simulations for medical physics". Physics in Medicine and Biology. 51 (13): R287 – R301. Bibcode:2006PMB....51R.287R. doi:10.1088/0031-9155/51/13/R17. ISSN 0031-9155. PMID 16790908.
Hinton, Geoffrey E. (2002-08-01). "Training Products of Experts by Minimizing Contrastive Divergence". Neural Computation. 14 (8): 1771–1800. doi:10.1162/089976602760128018. ISSN 0899-7667. PMID 12180402.
Vincent, Pascal (July 2011). "A Connection Between Score Matching and Denoising Autoencoders". Neural Computation. 23 (7): 1661–1674. doi:10.1162/NECO_a_00142. ISSN 0899-7667. PMID 21492012.

ncbi.nlm.nih.gov

Gupta, Ankur; Rawlings, James B. (April 2014). "Comparison of Parameter Estimation Methods in Stochastic Chemical Kinetic Models: Examples in Systems Biology". AIChE Journal. 60 (4): 1253–1268. Bibcode:2014AIChE..60.1253G. doi:10.1002/aic.14409. PMC 4946376. PMID 27429455.
Jia, Xun; Ziegenhein, Peter; Jiang, Steve B. (2014-02-21). "GPU-based high-performance computing for radiation therapy". Physics in Medicine and Biology. 59 (4): R151–182. Bibcode:2014PMB....59R.151J. doi:10.1088/0031-9155/59/4/R151. ISSN 1361-6560. PMC 4003902. PMID 24486639.

numdam.org

archive.numdam.org

Del Moral, Pierre; Miclo, Laurent (2000). "Branching and Interacting Particle Systems Approximations of Feynman-Kac Formulae with Applications to Non-Linear Filtering". In Jacques Azéma; Michel Ledoux; Michel Émery; Marc Yor (eds.). Séminaire de Probabilités XXXIV (PDF). Lecture Notes in Mathematics. Vol. 1729. pp. 1–145. doi:10.1007/bfb0103798. ISBN 978-3-540-67314-9.

oup.com

academic.oup.com

Geweke, John (1992-08-13), Bernardo, J M; Berger, J O; Dawid, P; Smith, A F M (eds.), "Evaluating the Accuracy of Sampling-Based Approaches to the Calculation of Posterior Moments", Bayesian Statistics 4, Oxford University PressOxford, pp. 169–194, doi:10.1093/oso/9780198522669.003.0010, ISBN 978-0-19-852266-9, retrieved 2025-04-29

projecteuclid.org

Raftery, Adrian E.; Lewis, Steven M. (1992-11-01). "[Practical Markov Chain Monte Carlo]: Comment: One Long Run with Diagnostics: Implementation Strategies for Markov Chain Monte Carlo". Statistical Science. 7 (4). doi:10.1214/ss/1177011143. ISSN 0883-4237.

proquest.com

Tribble, Seth D. (2007). Markov chain Monte Carlo algorithms using completely uniformly distributed driving sequences (Diss.). Stanford University. ProQuest 304808879.

psu.edu

citeseerx.ist.psu.edu

Cowles, M.K.; Carlin, B.P. (1996). "Markov chain Monte Carlo convergence diagnostics: a comparative review". Journal of the American Statistical Association. 91 (434): 883–904. CiteSeerX 10.1.1.53.3445. doi:10.1080/01621459.1996.10476956.

researchgate.net

Haario, Heikki; Saksman, Eero; Tamminen, Johanna (2001). "An adaptive Metropolis algorithm". Bernoulli. 7 (2): 223–242. doi:10.2307/3318737. JSTOR 3318737.

semanticscholar.org

api.semanticscholar.org

Geman, Stuart; Geman, Donald (November 1984). "Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images". IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-6 (6): 721–741. doi:10.1109/TPAMI.1984.4767596. ISSN 0162-8828. PMID 22499653. S2CID 5837272.
Lee, Se Yoon (2021). "Gibbs sampler and coordinate ascent variational inference: A set-theoretical review". Communications in Statistics - Theory and Methods. 51 (6): 1–21. arXiv:2008.01006. doi:10.1080/03610926.2021.1921214. S2CID 220935477.
Del Moral, Pierre (2006). "Sequential Monte Carlo samplers". Journal of the Royal Statistical Society. Series B (Statistical Methodology). 68 (3): 411–436. arXiv:cond-mat/0212648. doi:10.1111/j.1467-9868.2006.00553.x. S2CID 12074789.
Kasim, M.F.; Bott, A.F.A.; Tzeferacos, P.; Lamb, D.Q.; Gregori, G.; Vinko, S.M. (September 2019). "Retrieving fields from proton radiography without source profiles". Physical Review E. 100 (3): 033208. arXiv:1905.12934. Bibcode:2019PhRvE.100c3208K. doi:10.1103/PhysRevE.100.033208. PMID 31639953. S2CID 170078861.
Foreman-Mackey, Daniel; Hogg, David W.; Lang, Dustin; Goodman, Jonathan (2013-11-25). "emcee: The MCMC Hammer". Publications of the Astronomical Society of the Pacific. 125 (925): 306–312. arXiv:1202.3665. Bibcode:2013PASP..125..306F. doi:10.1086/670067. S2CID 88518555.

springer.com

Del Moral, Pierre (2004). Feynman–Kac formulae. Genealogical and interacting particle approximations. Springer. p. 575.

worldcat.org

search.worldcat.org

Geman, Stuart; Geman, Donald (November 1984). "Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images". IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-6 (6): 721–741. doi:10.1109/TPAMI.1984.4767596. ISSN 0162-8828. PMID 22499653. S2CID 5837272.
Jia, Xun; Ziegenhein, Peter; Jiang, Steve B. (2014-02-21). "GPU-based high-performance computing for radiation therapy". Physics in Medicine and Biology. 59 (4): R151–182. Bibcode:2014PMB....59R.151J. doi:10.1088/0031-9155/59/4/R151. ISSN 1361-6560. PMC 4003902. PMID 24486639.
Rogers, D. W. O. (July 2006). "REVIEW: Fifty years of Monte Carlo simulations for medical physics". Physics in Medicine and Biology. 51 (13): R287 – R301. Bibcode:2006PMB....51R.287R. doi:10.1088/0031-9155/51/13/R17. ISSN 0031-9155. PMID 16790908.
Hinton, Geoffrey E. (2002-08-01). "Training Products of Experts by Minimizing Contrastive Divergence". Neural Computation. 14 (8): 1771–1800. doi:10.1162/089976602760128018. ISSN 0899-7667. PMID 12180402.
Hyvärinen, Aapo (2005). "Estimation of Non-Normalized Statistical Models by Score Matching". Journal of Machine Learning Research. 6 (24): 695–709. ISSN 1533-7928.
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