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Maintained by  Karl Entacher 

Books and Monographs on MC&QMC

    • K. Binder and D. W. Heerman. Monte Carlo Simulation in Statistical Physics - An Introduction, volume 80 of Springer Series in Solid-State Sciences. Springer-Verlag, Berlin/Heidelberg, 3rd edition, 1997.

    • P. Bremaud. Markov Chains : Gibbs Fields, Monte Carlo Simulation, and Queues, volume 31 of Texts in Applied Mathematics. Springer-Verlag, Berlin/Heidelberg, 1999.

    • M. Evans and T. Swartz. Approximating Integrals via Monte Carlo and Deterministic Methods, volume 20 of Oxford Statistical Science Series. Oxford University Press, New York, 2000.

    • K. T. Fang and Y. Wang. Number Theoretic Methods in Statistics. Chapman and Hall, New York, 1994.

    • G.S. Fishman. Monte Carlo: Concepts, Algorithms, and Applications, volume 1 of Springer Series in Operations Research. Springer-Verlag, New York, 1996.

    • D. Gamerman. Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference. CRC Press LLC, Boca Raton, 1997.

    • J.E. Gentle. 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.

    • J. M. Hammersley and D. C. Handscomb. Monte Carlo Methods. Methuen, London, 1964.

    • P. Hellekalek and G. Larcher (eds.). Random and Quasi-Random Point Sets, volume 138 of Lecture Notes in Statistics. Springer-Verlag, Berlin, 1998.

    • L.K. Hua and Y. Wang. Applications of Number Theory to Numerical Analysis. Springer-Verlag, Berlin, 1981.

    • M.H. Kalos and P.A. Whitlock. Monte Carlo Methods, volume 1: Basics. John Wiley, New York, 1986.

    • D.E. Knuth. The Art of Computer Programming, volume 2: Seminumerical Algorithms. Addison-Wesley, Reading, MA, 3rd edition, 1997.

    • I Manno. 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.). Monte Carlo and Quasi-Monte Carlo Methods in scientific computing, volume 106 of Lecture Notes in Statistics. Springer-Verlag, New York, 1995.

    • H. Niederreiter and J. Spanier (eds.). Monte Carlo and Quasi-Monte Carlo Methods 1998. Springer-Verlag, Berlin, 2000.

    • H. Niederreiter, P. Hellekalek, G. Larcher, and P. Zinterhof (eds.). Monte Carlo and Quasi-Monte Carlo Methods 1996, volume 127 of Lecture Notes in Statistics. Springer-Verlag, New York, 1998.

    • H. Niederreiter. Random Number Generation and Quasi-Monte Carlo Methods. SIAM, Philadelphia, 1992.

    • C.P. Robert and G. Casella. Monte Carlo Statistical Methods. Springer Texts in Statistics. Springer-Verlag, Berlin/Heidelberg, 1999.

    • 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.

    • I.M. Sobol'. A Primer for the Monte Carlo Method. CRC Press LLC, Boca Raton, 1994.

    • S. Tezuka. Uniform Random Numbers: Theory And Practice. Kluwer Academic Publishers, 1995.

    • D. Vose. Quantitative Risk Analysis, A Guide to Monte Carlo Simulation Modelling. John Wiley & Sons, New York, 1996. 2nd Edition to be published 2000.

Auspices: The International Association for Mathematics and Computers in Simulation