Libros sobre el tema "Markov chain Monte Carlo methods"
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Liang, Faming, Chuanhai Liu y Raymond J. Carroll. Advanced Markov Chain Monte Carlo Methods. Chichester, UK: John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470669723.
Texto completoHandbook for Markov chain Monte Carlo. Boca Raton: Taylor & Francis, 2011.
Buscar texto completoR, Gilks W., Richardson S y Spiegelhalter D. J, eds. Markov chain Monte Carlo in practice. Boca Raton, Fla: Chapman & Hall, 1998.
Buscar texto completoR, Gilks W., Richardson S y Spiegelhalter D. J, eds. Markov chain Monte Carlo in practice. London: Chapman & Hall, 1996.
Buscar texto completoLiang, F. Advanced Markov chain Monte Carlo methods: Learning from past samples. Hoboken, NJ: Wiley, 2010.
Buscar texto completoJoseph, Anosh. Markov Chain Monte Carlo Methods in Quantum Field Theories. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46044-0.
Texto completoS, Kendall W., Liang F. 1970- y Wang J. S. 1960-, eds. Markov chain Monte Carlo: Innovations and applications. Singapore: World Scientific, 2005.
Buscar texto completo1946-, Winkler Gerhard, ed. Image analysis, random fields and Markov chain Monte Carlo methods: A mathematical introduction. 2a ed. Berlin: Springer, 2003.
Buscar texto completoGerhard, Winkler. Image analysis, random fields and Markov chain Monte Carlo methods: A mathematical introduction. 2a ed. Berlin: Springer, 2003.
Buscar texto completoWinkler, Gerhard. Image Analysis, Random Fields and Markov Chain Monte Carlo Methods. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55760-6.
Texto completoMarkov chain Monte Carlo: Stochastic simulation for Bayesian inference. London: Chapman & Hall, 1997.
Buscar texto completoNeal, Radford M. Markov chain Monte Carlo methods based on "slicing" the density function. Toronto: University of Toronto, Dept. of Statistics, 1997.
Buscar texto completoRoberts, Gareth O. Markov chain Monte Carlo: Some practical implications of theoretical results. Toronto: University of Toronto, 1997.
Buscar texto completoFreitas, Lopes Hedibert, ed. Markov chain Monte Carlo: Stochastic simulation for Bayesian inference. 2a ed. Boca Raton: Taylor & Francis, 2006.
Buscar texto completoGamerman, Dani. Markov chain Monte Carlo: Stochastic simulation for Bayesian inference. London: Chapman & Hall, 1997.
Buscar texto completoCowles, Mary Kathryn. A simulation approach to convergence rates for Markov chain Monte Carlo algorithms. [Toronto]: University of Toronto, Dept. of Statistics, 1996.
Buscar texto completo1947-, Gianola Daniel, ed. Likelihood, Bayesian and MCMC methods in quantitative genetics. New York: Springer-Verlag, 2002.
Buscar texto completoMarkov chain Monte Carlo simulations and their statistical analysis: With web-based fortran code. Singapore: World Scientific Publishing, 2004.
Buscar texto completoMarkov chain Monte Carlo simulations and their statistical analysis: With web-based Fortran code. Hackensack, NJ: World Scientific, 2004.
Buscar texto completoBrémaud, Pierre. Markov chains: Gibbs fields, Monte Carlo simulation, and queues. New York: Springer, 1999.
Buscar texto completoMikhaĭlov, G. A. New Monte Carlo methods with estimating derivatives. Utrecht, The Netherlands: VSP, 1995.
Buscar texto completoGeorge, Casella y SpringerLink (Online service), eds. Introducing Monte Carlo Methods with R. New York, NY: Springer Science+Business Media, LLC, 2010.
Buscar texto completoNicol, David M. Automated parallelization of discrete state-space generation. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 2000.
Buscar texto completoNicol, David M. Automated parallelization of discrete state-space generation. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 2000.
Buscar texto completoSuwa, Hidemaro. Geometrically Constructed Markov Chain Monte Carlo Study of Quantum Spin-phonon Complex Systems. Tokyo: Springer Japan, 2014. http://dx.doi.org/10.1007/978-4-431-54517-0.
Texto completoImage analysis, random fields, and dynamic Monte Carlo methods: A mathematical introduction. Berlin: Springer-Verlag, 1995.
Buscar texto completoLunn, David Jonathan. The application of Markov chain Monte Carlo techniques to the study of population pharmacokinetics. Manchester: University of Manchester, 1995.
Buscar texto completoLimit Theory for Spatial Processes, Bootstrap Quantile Variance Estimators, and Efficiency Measures for Markov Chain Monte Carlo. [New York, N.Y.?]: [publisher not identified], 2014.
Buscar texto completoCarroll, Raymond, Faming Liang y Chuanhai Liu. Advanced Markov Chain Monte Carlo Methods. Wiley & Sons, Incorporated, John, 2010.
Buscar texto completoKamatani, Kengo. Stability of Markov Chain Monte Carlo Methods. Springer Japan, 2023.
Buscar texto completoRichardson, S., David Spiegelhalter y W. R. Gilks. Markov Chain Monte Carlo in Practice. Taylor & Francis Group, 1995.
Buscar texto completoRichardson, S., David Spiegelhalter y W. R. Gilks. Markov Chain Monte Carlo in Practice. Taylor & Francis Group, 1995.
Buscar texto completoMarkov chain Monte Carlo: Innovations and applications. Singapore: World Scientific, 2006.
Buscar texto completoCarroll, Raymond, Faming Liang y Chuanhai Liu. Advanced Markov Chain Monte Carlo Methods: Learning from Past Samples. Wiley & Sons, Incorporated, John, 2011.
Buscar texto completoCarroll, Raymond, Faming Liang y Chuanhai Liu. Advanced Markov Chain Monte Carlo Methods: Learning from Past Samples. Wiley & Sons, Limited, John, 2010.
Buscar texto completoCarroll, Raymond, Faming Liang y Chuanhai Liu. Advanced Markov Chain Monte Carlo Methods: Learning from Past Samples. Wiley & Sons, Incorporated, John, 2010.
Buscar texto completoCarroll, Raymond, Faming Liang y Chuanhai Liu. Advanced Markov Chain Monte Carlo Methods: Learning from Past Samples. Wiley & Sons, Incorporated, John, 2011.
Buscar texto completoAllen, Michael P. y Dominic J. Tildesley. Monte Carlo methods. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198803195.003.0004.
Texto completoBoudreau, Joseph F. y Eric S. Swanson. Monte Carlo methods. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198708636.003.0007.
Texto completoMarkov Chain Monte Carlo in Practice (Interdisciplinary Statistics). Chapman & Hall/CRC, 1995.
Buscar texto completoJoseph, Anosh. Markov Chain Monte Carlo Methods in Quantum Field Theories: A Modern Primer. Springer, 2020.
Buscar texto completoGeometrically Constructed Markov Chain Monte Carlo Study of Quantum Spinphonon Complex Systems Springer Theses. Springer Verlag, Japan, 2013.
Buscar texto completoWinkler, Gerhard. Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction. Springer London, Limited, 2012.
Buscar texto completoWinkler, Gerhard. Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction. Springer Berlin / Heidelberg, 2012.
Buscar texto completoLopes, Hedibert F. y Dani Gamerman. Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition. Taylor & Francis Group, 2006.
Buscar texto completoLopes, Hedibert F. y Dani Gamerman. Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition. Taylor & Francis Group, 2006.
Buscar texto completoSuwa, Hidemaro. Geometrically Constructed Markov Chain Monte Carlo Study of Quantum Spin-Phonon Complex Systems. Springer London, Limited, 2013.
Buscar texto completoGeometrically Constructed Markov Chain Monte Carlo Study of Quantum Spin-Phonon Complex Systems. Springer Japan, 2016.
Buscar texto completoCiric, Aleksandar. A Guide to Monte Carlo and Quantum Monte Carlo methods : Quantum Monte Carlo: Variational and Diffusion; MC in general; Markov Chain; Statistics; Random number generators; Hidden Monte Carlo. Createspace Independent Publishing Platform, 2016.
Buscar texto completoMarkov Chain Monte Carlo: Innovations And Applications (Lecture Notes Series, Institute for Mathematical Sciences, N) (Lecture Note). World Scientific Publishing Company, 2005.
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