Determination of normalizing constants for simulated tempering
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[1] N. Metropolis,et al. Equation of State Calculations by Fast Computing Machines , 1953, Resonance.
[2] R. Glauber. Time‐Dependent Statistics of the Ising Model , 1963 .
[3] W. K. Hastings,et al. Monte Carlo Sampling Methods Using Markov Chains and Their Applications , 1970 .
[4] Michael Creutz,et al. Monte Carlo Study of Quantized SU(2) Gauge Theory , 1980 .
[5] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] M. Karplus,et al. Molecular dynamics simulations in biology , 1990, Nature.
[7] E. Keramidas. Computing science and statistics : proceedings of the 23rd Symposium on the Interface, Seattle, Washington, April 21-24, 1991 ; Interface '91 , 1991 .
[8] B. Berg,et al. Multicanonical algorithms for first order phase transitions , 1991 .
[9] Berg,et al. Multicanonical ensemble: A new approach to simulate first-order phase transitions. , 1992, Physical review letters.
[10] C. Floudas,et al. A global optimization approach for Lennard‐Jones microclusters , 1992 .
[11] Berg,et al. New approach to spin-glass simulations. , 1992, Physical review letters.
[12] A. Lyubartsev,et al. New approach to Monte Carlo calculation of the free energy: Method of expanded ensembles , 1992 .
[13] G. Parisi,et al. Simulated tempering: a new Monte Carlo scheme , 1992, hep-lat/9205018.
[14] Lee,et al. New Monte Carlo algorithm: Entropic sampling. , 1993, Physical review letters.
[15] C. Geyer,et al. Annealing Markov chain Monte Carlo with applications to ancestral inference , 1995 .
[16] Hesselbo,et al. Monte Carlo simulation and global optimization without parameters. , 1995, Physical review letters.
[17] K. Hukushima,et al. Exchange Monte Carlo Method and Application to Spin Glass Simulations , 1995, cond-mat/9512035.
[18] Sanford Weisberg,et al. Computing science and statistics : proceedings of the 30th Symposium on the Interface, Minneapolis, Minnesota, May 13-16, 1998 : dimension reduction, computational complexity and information , 1998 .
[19] Jian-Sheng Wang. Is the broad histogram random walk dynamics correct? , 1999 .
[20] Jian-Sheng Wang,et al. Flat histogram Monte Carlo method , 2000 .
[21] J. Pablo,et al. Hyperparallel tempering Monte Carlo simulation of polymeric systems , 2000 .
[22] D. L. Freeman,et al. Phase changes in 38-atom Lennard-Jones clusters. I. A parallel tempering study in the canonical ensemble , 2000, physics/0003068.
[23] D. Landau,et al. Efficient, multiple-range random walk algorithm to calculate the density of states. , 2000, Physical review letters.
[24] D. Landau,et al. Determining the density of states for classical statistical models: a random walk algorithm to produce a flat histogram. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.
[25] W. Michael Conklin,et al. Monte Carlo Methods in Bayesian Computation , 2001, Technometrics.
[26] Antonio Coniglio,et al. Spin and density overlaps in the frustrated Ising lattice gas. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.
[27] Neal Madras. Lectures on Monte Carlo Methods , 2002 .
[28] Faming Liang. Use of sequential structure in simulation from high-dimensional systems. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.