Libros sobre el tema "Markov chain Monte Carlo samplers"
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Liang, F. Advanced Markov chain Monte Carlo methods: Learning from past samples. Hoboken, NJ: Wiley, 2010.
Buscar texto completoHandbook for Markov chain Monte Carlo. Boca Raton: Taylor & Francis, 2011.
Buscar texto completoLiang, 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 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 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 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 completoGamerman, Dani. Markov chain Monte Carlo: Stochastic simulation for Bayesian inference. London: Chapman & Hall, 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 completoMarkov chain Monte Carlo: Stochastic simulation for Bayesian inference. London: Chapman & Hall, 1997.
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 completoRoberts, Gareth O. Markov chain Monte Carlo: Some practical implications of theoretical results. Toronto: University of Toronto, 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 completoNeal, Radford M. Markov chain Monte Carlo methods based on "slicing" the density function. Toronto: University of Toronto, Dept. of Statistics, 1997.
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 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 completoMarkov chain Monte Carlo simulations and their statistical analysis: With web-based Fortran code. Hackensack, NJ: World Scientific, 2004.
Buscar texto completoMarkov chain Monte Carlo simulations and their statistical analysis: With web-based fortran code. Singapore: World Scientific Publishing, 2004.
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 completoCoolen, A. C. C., A. Annibale y E. S. Roberts. Markov Chain Monte Carlo sampling of graphs. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198709893.003.0006.
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, Incorporated, John, 2010.
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, 2011.
Buscar texto completoGamerman, Dani y Hedibert F. Lopes. Markov Chain Monte Carlo. Chapman and Hall/CRC, 2006. http://dx.doi.org/10.1201/9781482296426.
Texto completoBrooks, Steve, Andrew Gelman, Galin Jones y Xiao-Li Meng, eds. Handbook of Markov Chain Monte Carlo. Chapman and Hall/CRC, 2011. http://dx.doi.org/10.1201/b10905.
Texto completoGilks, W. R., S. Richardson y David Spiegelhalter, eds. Markov Chain Monte Carlo in Practice. Chapman and Hall/CRC, 1995. http://dx.doi.org/10.1201/b14835.
Texto completoCarroll, Raymond, Faming Liang y Chuanhai Liu. Advanced Markov Chain Monte Carlo Methods. Wiley & Sons, Incorporated, John, 2010.
Buscar texto completoBrooks, Steve, Andrew Gelman, Xiao-Li Meng y Galin L. Jones. Handbook of Markov Chain Monte Carlo. Taylor & Francis Group, 2011.
Buscar texto completoRichardson, S., David Spiegelhalter y W. R. Gilks. Markov Chain Monte Carlo in Practice. Taylor & Francis Group, 1995.
Buscar texto completoBrooks, Steve, Andrew Gelman, Xiao-Li Meng y Galin Jones. Handbook of Markov Chain Monte Carlo. Taylor & Francis Group, 2011.
Buscar texto completoBrooks, Steve, Andrew Gelman, Xiao-Li Meng y Galin Jones. Handbook of Markov Chain Monte Carlo. Taylor & Francis Group, 2011.
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 completoKamatani, Kengo. Stability of Markov Chain Monte Carlo Methods. Springer Japan, 2023.
Buscar texto completoMarkov Chain Monte Carlo in Practice (Interdisciplinary Statistics). Chapman & Hall/CRC, 1995.
Buscar texto completoCoolen, A. C. C., A. Annibale y E. S. Roberts. Graphs with hard constraints: further applications and extensions. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198709893.003.0007.
Texto completoJones, Galin L. Convergence rates and Monte Carlo standard errors for Markov chain Monte Carlo Algorithms. 2001.
Buscar texto completoTweedie, Richard L. y Gareth O. Roberts. Understanding Monte Carlo Markov Chain (Springer Series in Statistics). Springer, 2008.
Buscar texto completoCheng, Russell. Finite Mixture Examples; MAPIS Details. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0018.
Texto completoLopes, Hedibert F. y Dani Gamerman. Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition. Taylor & Francis Group, 2006.
Buscar texto completoPinto, Ruxandra L. Improving markov chain monte carlo estimators using overrelaxation and coupling techniques. 2002.
Buscar texto completoPinto, Ruxandra L. Improving Markov chain Monte Carlo estimations using overrelaxing and coupling techniques. 2002, 2002.
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 completoMatsuura, So y Masanori Hanada. MCMC from Scratch: A Practical Introduction to Markov Chain Monte Carlo. Springer, 2022.
Buscar texto completoGeometrically Constructed Markov Chain Monte Carlo Study of Quantum Spinphonon Complex Systems Springer Theses. Springer Verlag, Japan, 2013.
Buscar texto completoLaver, Michael y Ernest Sergenti. Systematically Interrogating Agent-Based Models. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691139036.003.0004.
Texto completoJoseph, Anosh. Markov Chain Monte Carlo Methods in Quantum Field Theories: A Modern Primer. Springer, 2020.
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