Монте Карло метода (Serbian Wikipedia)

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scitation.aip.org

Metropolis, Nicholas; Rosenbluth, Arianna W.; Rosenbluth, Marshall N.; Teller, Augusta H.; Teller, Edward (1. 6. 1953). „Equation of State Calculations by Fast Computing Machines”. The Journal of Chemical Physics. 21 (6): 1087—1092. Bibcode:1953JChPh..21.1087M. ISSN 0021-9606. doi:10.1063/1.1699114.

aps.org

journals.aps.org

Hetherington, Jack, H. (1984). „Observations on the statistical iteration of matrices”. Phys. Rev. A. 30 (2713): 2713—2719. Bibcode:1984PhRvA..30.2713H. doi:10.1103/PhysRevA.30.2713.

archive.org

Hubbard 2009 Hubbard, Douglas (2009). The Failure of Risk Management: Why It's Broken and How to Fix It. John Wiley & Sons.
Rosenbluth, Marshall, N.; Rosenbluth, Arianna, W. (1955). „Monte-Carlo calculations of the average extension of macromolecular chains”. J. Chem. Phys. 23: 356—359. Bibcode:1955JChPh..23..356R. doi:10.1063/1.1741967.

arimaa.com

(PDF) http://www.arimaa.com/arimaa/papers/ThomasJakl/bc-thesis.pdf. Недостаје или је празан параметар |title= (помоћ)

cambridge.org

journals.cambridge.org

Del Moral, Pierre (2003). „Particle approximations of Lyapunov exponents connected to Schrödinger operators and Feynman-Kac semigroups” (PDF). ESAIM Probability & Statistics. 7: 171—208. doi:10.1051/ps:2003001.

crcpress.com

Del Moral, Pierre (2013). Mean field simulation for Monte Carlo integration. Chapman & Hall/CRC Press. стр. 626. „Monographs on Statistics & Applied Probability”

doi.org

Kroese, D. P.; Brereton, T.; Taimre, T.; Botev, Z. I. (2014). „Why the Monte Carlo method is so important today”. WIREs Comput Stat. 6: 386—392. doi:10.1002/wics.1314.
Metropolis, Nicholas; Rosenbluth, Arianna W.; Rosenbluth, Marshall N.; Teller, Augusta H.; Teller, Edward (1. 6. 1953). „Equation of State Calculations by Fast Computing Machines”. The Journal of Chemical Physics. 21 (6): 1087—1092. Bibcode:1953JChPh..21.1087M. ISSN 0021-9606. doi:10.1063/1.1699114.
Hastings, W. K. (1. 4. 1970). „Monte Carlo sampling methods using Markov chains and their applications”. Biometrika. 57 (1): 97—109. ISSN 0006-3444. doi:10.1093/biomet/57.1.97.
Liu, Jun S.; Liang, Faming; Wong, Wing Hung (1. 3. 2000). „The Multiple-Try Method and Local Optimization in Metropolis Sampling”. Journal of the American Statistical Association. 95 (449): 121—134. ISSN 0162-1459. doi:10.1080/01621459.2000.10473908.
Martino, Luca; Read, Jesse (11. 7. 2013). „On the flexibility of the design of multiple try Metropolis schemes”. Computational Statistics. 28 (6): 2797—2823. ISSN 0943-4062. doi:10.1007/s00180-013-0429-2.
Spall, J. C. (2003). „Estimation via Markov chain Monte Carlo”. IEEE Control Systems. 23 (2): 34—45. doi:10.1109/MCS.2003.1188770.
Del Moral, Pierre; Doucet, Arnaud; Jasra, Ajay (2006). „Sequential Monte Carlo Samplers”. Journal of the Royal Statistical Society Series B: Statistical Methodology. 68 (3): 411—436. doi:10.1111/j.1467-9868.2006.00553.x.
McKean, Henry, P. (1966). „A class of Markov processes associated with nonlinear parabolic equations” (PDF). Proc. Nat. Acad. Sci. USA. 56 (6): 1907—1911. Bibcode:1966PNAS...56.1907M. PMC 220210 . PMID 16591437. doi:10.1073/pnas.56.6.1907.
Turing, Alan M. „Computing machinery and intelligence”. Mind. LIX (238): 433—460. doi:10.1093/mind/LIX.236.433.
Del Moral, Pierre; Miclo, Laurent (2000). Branching and Interacting Particle Systems Approximations of Feynman-Kac Formulae with Applications to Non-Linear Filtering. (PDF). Lecture Notes in Mathematics. 1729. стр. 1—145. doi:10.1007/bfb0103798.
Del Moral, Pierre; Miclo, Laurent (2000). „A Moran particle system approximation of Feynman-Kac formulae.”. Stochastic Processes and their Applications. 86 (2): 193—216. doi:10.1016/S0304-4149(99)00094-0.
Del Moral, Pierre (2003). „Particle approximations of Lyapunov exponents connected to Schrödinger operators and Feynman-Kac semigroups” (PDF). ESAIM Probability & Statistics. 7: 171—208. doi:10.1051/ps:2003001.
Assaraf, Roland; Caffarel, Michel; Khelif, Anatole (2000). „Diffusion Monte Carlo Methods with a fixed number of walkers” (PDF). Phys. Rev. E. 61: 4566—4575. Bibcode:2000PhRvE..61.4566A. doi:10.1103/physreve.61.4566. Архивирано из оригинала (PDF) 07. 11. 2014. г. Приступљено 15. 11. 2015.
Caffarel, Michel; Ceperley, David; Kalos, Malvin (1993). „Comment on Feynman-Kac Path-Integral Calculation of the Ground-State Energies of Atoms”. Phys. Rev. Lett. 71: 2159. Bibcode:1993PhRvL..71.2159C. doi:10.1103/physrevlett.71.2159.
Hetherington, Jack, H. (1984). „Observations on the statistical iteration of matrices”. Phys. Rev. A. 30 (2713): 2713—2719. Bibcode:1984PhRvA..30.2713H. doi:10.1103/PhysRevA.30.2713.
Rosenbluth, Marshall, N.; Rosenbluth, Arianna, W. (1955). „Monte-Carlo calculations of the average extension of macromolecular chains”. J. Chem. Phys. 23: 356—359. Bibcode:1955JChPh..23..356R. doi:10.1063/1.1741967.
Gordon, N.J.; Salmond, D.J.; Smith, A.F.M. (1993). „Novel approach to nonlinear/non-Gaussian Bayesian state estimation”. Radar and Signal Processing, IEE Proceedings F. 140 (2): 107—113. ISSN 0956-375X. doi:10.1049/ip-f-2.1993.0015.
Kitagawa, G. (1996). „Monte carlo filter and smoother for non-Gaussian nonlinear state space models”. Journal of Computational and Graphical Statistics. 5 (1): 1—25. JSTOR 1390750. doi:10.2307/1390750.
Del Moral, Pierre (1998). „Measure Valued Processes and Interacting Particle Systems. Application to Non Linear Filtering Problems”. Annals of Applied Probability (Publications du Laboratoire de Statistique et Probabilités, 96-15 (1996) изд.). 8 (2): 438—495. doi:10.1214/aoap/1028903535.
Crisan, Dan; Gaines, Jessica; Lyons, Terry (1998). „Convergence of a branching particle method to the solution of the Zakai”. SIAM Journal on Applied Mathematics. 58 (5): 1568—1590. doi:10.1137/s0036139996307371.
Crisan, Dan; Lyons, Terry (1997). „Nonlinear filtering and measure-valued processes”. Probability Theory and Related Fields. 109 (2): 217—244. doi:10.1007/s004400050131.
Crisan, Dan; Lyons, Terry (1999). „A particle approximation of the solution of the Kushner–Stratonovitch equation”. Probability Theory and Related Fields. 115 (4): 549—578. doi:10.1007/s004400050249.
Del Moral, Pierre; Guionnet, Alice (2001). „On the stability of interacting processes with applications to filtering and genetic algorithms”. Annales de l'Institut Henri Poincaré. 37 (2): 155—194. doi:10.1016/s0246-0203(00)01064-5.
„GPU-based high-performance computing for radiation therapy”. Physics in Medicine and Biology. 59: R151—R182. Bibcode:2014PMB....59R.151J. doi:10.1088/0031-9155/59/4/R151.
„Advances in kilovoltage x-ray beam dosimetry”. Physics in Medicine and Biology. 59: R183—R231. Bibcode:2014PMB....59R.183H. doi:10.1088/0031-9155/59/6/R183.
„Fifty years of Monte Carlo simulations for medical physics”. Physics in Medicine and Biology. 51: R287—R301. Bibcode:2006PMB....51R.287R. doi:10.1088/0031-9155/51/13/R17.
Baeurle 2009 Baeurle, Stephan A. (2009). „Multiscale modeling of polymer materials using field-theoretic methodologies: A survey about recent developments”. Journal of Mathematical Chemistry. 46 (2): 363—426. doi:10.1007/s10910-008-9467-3.
Dietrich, S.; Boyd, I. (1996). „A Scalar optimized parallel implementation of the DSMC technique”. Journal of Computational Physics. 126: 328—42. Bibcode:1996JCoPh.126..328D. doi:10.1006/jcph.1996.0141.
Chaslot, Guillaume M. J. -B.; Winands, Mark H. M.; Van Den Herik, H. Jaap (2008). „Parallel Monte-Carlo Tree Search”. Computers and Games. Lecture Notes in Computer Science. 5131. стр. 60—71. ISBN 978-3-540-87607-6. doi:10.1007/978-3-540-87608-3_6.
Lorentz, Richard J. (2011). „Improving Monte–Carlo Tree Search in Havannah”. Computers and Games. Lecture Notes in Computer Science. 6515. стр. 105—115. ISBN 978-3-642-17927-3. doi:10.1007/978-3-642-17928-0_10.
Carmona, René; Del Moral, Pierre; Hu, Peng; Oudjane, Nadia (2012). Carmona, René A.; Moral, Pierre Del; Hu, Peng; Oudjane, Nadia, ур. „An Introduction to Particle Methods with Financial Applications”. Numerical Methods in Finance. Springer Proceedings in Mathematics. Springer Berlin Heidelberg. 12: 3—49. ISBN 978-3-642-25745-2. doi:10.1007/978-3-642-25746-9_1.
„Numerical Methods in Finance - Springer”. link.springer.com. doi:10.1007/978-3-642-25746-9.
MEZEI, M (31. 12. 1986). „Adaptive umbrella sampling: Self-consistent determination of the non-Boltzmann bias”. Journal of Computational Physics. 68 (1): 237—248. Bibcode:1987JCoPh..68..237M. doi:10.1016/0021-9991(87)90054-4.
Bartels, Christian; Karplus, Martin (31. 12. 1997). „Probability Distributions for Complex Systems: Adaptive Umbrella Sampling of the Potential Energy”. The Journal of Physical Chemistry B. 102 (5): 865—880. doi:10.1021/jp972280j.
„Sequential Monte Carlo samplers - Del Moral - Doucet - Jasra- 2006 - Journal of the Royal Statistical Society: Series B (Statistical Methodology) - Wiley Online Library”. Journal of the Royal Statistical Society: Series B (Statistical Methodology). 68: 411—436. doi:10.1111/j.1467-9868.2006.00553.x.
Mosegaard & Tarantola 1995 Mosegaard, Klaus; Tarantola, Albert (1995). „Monte Carlo sampling of solutions to inverse problems”. J. Geophys. Res. 100 (B7): 12431—12447. Bibcode:1995JGR...10012431M. doi:10.1029/94JB03097.

harvard.edu

adsabs.harvard.edu

Metropolis, Nicholas; Rosenbluth, Arianna W.; Rosenbluth, Marshall N.; Teller, Augusta H.; Teller, Edward (1. 6. 1953). „Equation of State Calculations by Fast Computing Machines”. The Journal of Chemical Physics. 21 (6): 1087—1092. Bibcode:1953JChPh..21.1087M. ISSN 0021-9606. doi:10.1063/1.1699114.
McKean, Henry, P. (1966). „A class of Markov processes associated with nonlinear parabolic equations” (PDF). Proc. Nat. Acad. Sci. USA. 56 (6): 1907—1911. Bibcode:1966PNAS...56.1907M. PMC 220210 . PMID 16591437. doi:10.1073/pnas.56.6.1907.
Assaraf, Roland; Caffarel, Michel; Khelif, Anatole (2000). „Diffusion Monte Carlo Methods with a fixed number of walkers” (PDF). Phys. Rev. E. 61: 4566—4575. Bibcode:2000PhRvE..61.4566A. doi:10.1103/physreve.61.4566. Архивирано из оригинала (PDF) 07. 11. 2014. г. Приступљено 15. 11. 2015.
Caffarel, Michel; Ceperley, David; Kalos, Malvin (1993). „Comment on Feynman-Kac Path-Integral Calculation of the Ground-State Energies of Atoms”. Phys. Rev. Lett. 71: 2159. Bibcode:1993PhRvL..71.2159C. doi:10.1103/physrevlett.71.2159.
Hetherington, Jack, H. (1984). „Observations on the statistical iteration of matrices”. Phys. Rev. A. 30 (2713): 2713—2719. Bibcode:1984PhRvA..30.2713H. doi:10.1103/PhysRevA.30.2713.
Rosenbluth, Marshall, N.; Rosenbluth, Arianna, W. (1955). „Monte-Carlo calculations of the average extension of macromolecular chains”. J. Chem. Phys. 23: 356—359. Bibcode:1955JChPh..23..356R. doi:10.1063/1.1741967.
„GPU-based high-performance computing for radiation therapy”. Physics in Medicine and Biology. 59: R151—R182. Bibcode:2014PMB....59R.151J. doi:10.1088/0031-9155/59/4/R151.
„Advances in kilovoltage x-ray beam dosimetry”. Physics in Medicine and Biology. 59: R183—R231. Bibcode:2014PMB....59R.183H. doi:10.1088/0031-9155/59/6/R183.
„Fifty years of Monte Carlo simulations for medical physics”. Physics in Medicine and Biology. 51: R287—R301. Bibcode:2006PMB....51R.287R. doi:10.1088/0031-9155/51/13/R17.
Dietrich, S.; Boyd, I. (1996). „A Scalar optimized parallel implementation of the DSMC technique”. Journal of Computational Physics. 126: 328—42. Bibcode:1996JCoPh.126..328D. doi:10.1006/jcph.1996.0141.
MEZEI, M (31. 12. 1986). „Adaptive umbrella sampling: Self-consistent determination of the non-Boltzmann bias”. Journal of Computational Physics. 68 (1): 237—248. Bibcode:1987JCoPh..68..237M. doi:10.1016/0021-9991(87)90054-4.
Mosegaard & Tarantola 1995 Mosegaard, Klaus; Tarantola, Albert (1995). „Monte Carlo sampling of solutions to inverse problems”. J. Geophys. Res. 100 (B7): 12431—12447. Bibcode:1995JGR...10012431M. doi:10.1029/94JB03097.

ieee.org

ieeexplore.ieee.org

Gordon, N.J.; Salmond, D.J.; Smith, A.F.M. (1993). „Novel approach to nonlinear/non-Gaussian Bayesian state estimation”. Radar and Signal Processing, IEE Proceedings F. 140 (2): 107—113. ISSN 0956-375X. doi:10.1049/ip-f-2.1993.0015.

jstor.org

Kitagawa, G. (1996). „Monte carlo filter and smoother for non-Gaussian nonlinear state space models”. Journal of Computational and Graphical Statistics. 5 (1): 1—25. JSTOR 1390750. doi:10.2307/1390750.

jussieu.fr

ipgp.jussieu.fr

Tarantola 2005 Tarantola, Albert (2005). Inverse Problem Theory. Philadelphia: Society for Industrial and Applied Mathematics. ISBN 978-0-89871-572-9.

laas.fr

homepages.laas.fr

Carvalho, Himilcon; Del Moral, Pierre; Monin, André; Salut, Gérard (1997). „Optimal Non-linear Filtering in GPS/INS Integration.” (PDF). IEEE-Trans. on Aerospace and electronic systems. 33 (3). Архивирано из оригинала (PDF) 10. 11. 2022. г. Приступљено 15. 11. 2015.

landofsand.com

sander.landofsand.com

(PDF) http://sander.landofsand.com/publications/Monte-Carlo_Tree_Search_-_A_New_Framework_for_Game_AI.pdf. Недостаје или је празан параметар |title= (помоћ)

lanl.gov

library.lanl.gov

Metropolis 1987 Metropolis, N. (1987). „The beginning of the Monte Carlo method” (PDF). Los Alamos Science (1987 Special Issue dedicated to Stanislaw Ulam): 125—130.
Eckhardt 1987 Eckhardt, Roger (1987). „Stan Ulam, John von Neumann, and the Monte Carlo method” (PDF). Los Alamos Science, Special Issue (15): 131—137. Архивирано из оригинала (PDF) 09. 09. 2014. г. Приступљено 15. 11. 2015.

mcts.ai

„Monte Carlo Tree Search - About”. Архивирано из оригинала 29. 11. 2015. г. Приступљено 15. 11. 2015.

nih.gov

ncbi.nlm.nih.gov

McKean, Henry, P. (1966). „A class of Markov processes associated with nonlinear parabolic equations” (PDF). Proc. Nat. Acad. Sci. USA. 56 (6): 1907—1911. Bibcode:1966PNAS...56.1907M. PMC 220210 . PMID 16591437. doi:10.1073/pnas.56.6.1907.

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. (PDF). Lecture Notes in Mathematics. 1729. стр. 1—145. doi:10.1007/bfb0103798.

oxfordjournals.org

biomet.oxfordjournals.org

Hastings, W. K. (1. 4. 1970). „Monte Carlo sampling methods using Markov chains and their applications”. Biometrika. 57 (1): 97—109. ISSN 0006-3444. doi:10.1093/biomet/57.1.97.

mind.oxfordjournals.org

Turing, Alan M. „Computing machinery and intelligence”. Mind. LIX (238): 433—460. doi:10.1093/mind/LIX.236.433.

projecteuclid.org

Del Moral, Pierre (1998). „Measure Valued Processes and Interacting Particle Systems. Application to Non Linear Filtering Problems”. Annals of Applied Probability (Publications du Laboratoire de Statistique et Probabilités, 96-15 (1996) изд.). 8 (2): 438—495. doi:10.1214/aoap/1028903535.

sciencedirect.com

Del Moral, Pierre; Miclo, Laurent (2000). „A Moran particle system approximation of Feynman-Kac formulae.”. Stochastic Processes and their Applications. 86 (2): 193—216. doi:10.1016/S0304-4149(99)00094-0.
Shirangi, M. G., History matching production data and uncertainty assessment with an efficient TSVD parameterization algorithm, Journal of Petroleum Science and Engineering, http://www.sciencedirect.com/science/article/pii/S0920410513003227

springer.com

link.springer.com

Martino, Luca; Read, Jesse (11. 7. 2013). „On the flexibility of the design of multiple try Metropolis schemes”. Computational Statistics. 28 (6): 2797—2823. ISSN 0943-4062. doi:10.1007/s00180-013-0429-2.
Carmona, René; Del Moral, Pierre; Hu, Peng; Oudjane, Nadia (2012). Carmona, René A.; Moral, Pierre Del; Hu, Peng; Oudjane, Nadia, ур. „An Introduction to Particle Methods with Financial Applications”. Numerical Methods in Finance. Springer Proceedings in Mathematics. Springer Berlin Heidelberg. 12: 3—49. ISBN 978-3-642-25745-2. doi:10.1007/978-3-642-25746-9_1.
„Numerical Methods in Finance - Springer”. link.springer.com. doi:10.1007/978-3-642-25746-9.

springer.com

Del Moral, Pierre (2004). Feynman-Kac formulae. Genealogical and interacting particle approximations. Springer. стр. 575. „Series: Probability and Applications”

tandfonline.com

Liu, Jun S.; Liang, Faming; Wong, Wing Hung (1. 3. 2000). „The Multiple-Try Method and Local Optimization in Metropolis Sampling”. Journal of the American Statistical Association. 95 (449): 121—134. ISSN 0162-1459. doi:10.1080/01621459.2000.10473908.

ucl.ac.uk

www0.cs.ucl.ac.uk

„Архивирана копија” (PDF). Архивирано из оригинала (PDF) 18. 07. 2016. г. Приступљено 15. 11. 2015.

uninsubria.it

scienze-como.uninsubria.it

Fermi, Enrique; Richtmyer, Robert, D. (1948). „Note on census-taking in Monte Carlo calculations” (PDF). LAM. 805 (A). „Declassified report Los Alamos Archive”

unsw.edu.au

web.maths.unsw.edu.au

Del Moral, Pierre (1996). „Non Linear Filtering: Interacting Particle Solution.” (PDF). Markov Processes and Related Fields. 2 (4): 555—580. Архивирано из оригинала (PDF) 04. 03. 2016. г. Приступљено 15. 11. 2015.
Crisan, Dan; Del Moral, Pierre; Lyons, Terry (1999). „Discrete filtering using branching and interacting particle systems” (PDF). Markov Processes and Related Fields. 5 (3): 293—318.
Del Moral, Pierre; Guionnet, Alice (2001). „On the stability of interacting processes with applications to filtering and genetic algorithms”. Annales de l'Institut Henri Poincaré. 37 (2): 155—194. doi:10.1016/s0246-0203(00)01064-5.

ups-tlse.fr

qmcchem.ups-tlse.fr

Assaraf, Roland; Caffarel, Michel; Khelif, Anatole (2000). „Diffusion Monte Carlo Methods with a fixed number of walkers” (PDF). Phys. Rev. E. 61: 4566—4575. Bibcode:2000PhRvE..61.4566A. doi:10.1103/physreve.61.4566. Архивирано из оригинала (PDF) 07. 11. 2014. г. Приступљено 15. 11. 2015.

usc.edu

dornsifecms.usc.edu

Herman, Kahn; Harris, Theodore, E. (1951). „Estimation of particle transmission by random sampling” (PDF). Natl. Bur. Stand. Appl. Math. Ser. 12: 27—30.

wayne.edu

digitalcommons.wayne.edu

Sawilowsky 2003 Sawilowsky, Shlomo S. (2003). „You think you've got trivials?”. Journal of Modern Applied Statistical Methods. 2 (1): 218—225.

web.archive.org

Eckhardt 1987 Eckhardt, Roger (1987). „Stan Ulam, John von Neumann, and the Monte Carlo method” (PDF). Los Alamos Science, Special Issue (15): 131—137. Архивирано из оригинала (PDF) 09. 09. 2014. г. Приступљено 15. 11. 2015.
Assaraf, Roland; Caffarel, Michel; Khelif, Anatole (2000). „Diffusion Monte Carlo Methods with a fixed number of walkers” (PDF). Phys. Rev. E. 61: 4566—4575. Bibcode:2000PhRvE..61.4566A. doi:10.1103/physreve.61.4566. Архивирано из оригинала (PDF) 07. 11. 2014. г. Приступљено 15. 11. 2015.
Del Moral, Pierre (1996). „Non Linear Filtering: Interacting Particle Solution.” (PDF). Markov Processes and Related Fields. 2 (4): 555—580. Архивирано из оригинала (PDF) 04. 03. 2016. г. Приступљено 15. 11. 2015.
Carvalho, Himilcon; Del Moral, Pierre; Monin, André; Salut, Gérard (1997). „Optimal Non-linear Filtering in GPS/INS Integration.” (PDF). IEEE-Trans. on Aerospace and electronic systems. 33 (3). Архивирано из оригинала (PDF) 10. 11. 2022. г. Приступљено 15. 11. 2015.
„Monte Carlo Tree Search - About”. Архивирано из оригинала 29. 11. 2015. г. Приступљено 15. 11. 2015.
„Архивирана копија” (PDF). Архивирано из оригинала (PDF) 18. 07. 2016. г. Приступљено 15. 11. 2015.

wiley.com

doi.wiley.com

„Sequential Monte Carlo samplers - Del Moral - Doucet - Jasra- 2006 - Journal of the Royal Statistical Society: Series B (Statistical Methodology) - Wiley Online Library”. Journal of the Royal Statistical Society: Series B (Statistical Methodology). 68: 411—436. doi:10.1111/j.1467-9868.2006.00553.x.

worldcat.org

Metropolis, Nicholas; Rosenbluth, Arianna W.; Rosenbluth, Marshall N.; Teller, Augusta H.; Teller, Edward (1. 6. 1953). „Equation of State Calculations by Fast Computing Machines”. The Journal of Chemical Physics. 21 (6): 1087—1092. Bibcode:1953JChPh..21.1087M. ISSN 0021-9606. doi:10.1063/1.1699114.
Hastings, W. K. (1. 4. 1970). „Monte Carlo sampling methods using Markov chains and their applications”. Biometrika. 57 (1): 97—109. ISSN 0006-3444. doi:10.1093/biomet/57.1.97.
Liu, Jun S.; Liang, Faming; Wong, Wing Hung (1. 3. 2000). „The Multiple-Try Method and Local Optimization in Metropolis Sampling”. Journal of the American Statistical Association. 95 (449): 121—134. ISSN 0162-1459. doi:10.1080/01621459.2000.10473908.
Martino, Luca; Read, Jesse (11. 7. 2013). „On the flexibility of the design of multiple try Metropolis schemes”. Computational Statistics. 28 (6): 2797—2823. ISSN 0943-4062. doi:10.1007/s00180-013-0429-2.
Gordon, N.J.; Salmond, D.J.; Smith, A.F.M. (1993). „Novel approach to nonlinear/non-Gaussian Bayesian state estimation”. Radar and Signal Processing, IEE Proceedings F. 140 (2): 107—113. ISSN 0956-375X. doi:10.1049/ip-f-2.1993.0015.