蒙特卡罗方法参考书:
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Markov Chains : Gibbs Fields, Monte Carlo Simulation, and Queues, volume 31 of Texts in Applied Mathematics. Springer-Verlag, Berlin/Heidelberg, 1999.
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Approximating Integrals via Monte Carlo and Deterministic Methods, volume 20 of Oxford Statistical Science Series. Oxford University Press, New York, 2000.
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Number Theoretic Methods in Statistics. Chapman and Hall, New York, 1994.
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Random Number Generation and Monte Carlo Methods. Statistics and Computing. Springer-Verlag, Berlin/Heidelberg, 2nd edition, 2000.
W.R. Gilks, S. Richardson, and D.J. Spiegelhalter.
Markov Chain Monte Carlo in Practice. CRC Press LLC, Boca Raton, 1995.
M.H. Kalos and P.A. Whitlock.
Monte Carlo Methods, volume 1: Basics. John Wiley, New York, 1986.
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Introduction to the Monte-Carlo Method. Akademiai Kiado, Budapest, 1999.
M.E.J Newman and G.T. Barkema.
Monte Carlo Methods in Statistical Physics. Oxford University Press, 1999.
H. Niederreiter and P.J.-S. Shiue (eds.).
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Monte Carlo and Quasi-Monte Carlo Methods 1998. Springer-Verlag, Berlin, 2000.
H. Niederreiter, P. Hellekalek, G. Larcher, and P. Zinterhof (eds.).
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Random Number Generation and Quasi-Monte Carlo Methods. SIAM, Philadelphia, 1992.
C.P. Robert and G. Casella.
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R. Y. Rubinstein.
Simulation and the Monte Carlo Method. John Wiley & Sons, 1981.
I.H. Sloan and S. Joe.
Lattice Methods for Multiple Integration. Oxford University Press, New York, 1994.
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A Primer for the Monte Carlo Method. CRC Press LLC, Boca Raton, 1994.
D. Vose.
Quantitative Risk Analysis, A Guide to Monte Carlo Simulation Modelling. John Wiley & Sons, New York, 1996. 2nd Edition to be published 2000.