CORRELATION CONTROL IN SMALL-SAMPLE MONTE CARLO TYPE SIMULATIONS I: A SIMULATED ANNEALING APPROACH

[1]  Miroslav Vořechovský,et al.  Simulation of simply cross correlated random fields by series expansion methods , 2008 .

[2]  Miroslav Vořechovský,et al.  Interplay of size effects in concrete specimens under tension studied via computational stochastic fracture mechanics , 2007 .

[3]  Drahomír Novák,et al.  Asymptotic Prediction of Energetic-Statistical Size Effect from Deterministic Finite-Element Solutions , 2007 .

[4]  David Lehký,et al.  ANN inverse analysis based on stochastic small-sample training set simulation , 2006, Eng. Appl. Artif. Intell..

[5]  Todd C. Headrick,et al.  On simulating multivariate non-normal distributions from the generalized lambda distribution , 2006, Comput. Stat. Data Anal..

[6]  Drahomír Novák,et al.  Simulation of random fields for stochastic finite element analyses , 2005 .

[7]  David Lehký,et al.  Stochastic nonlinear fracture mechanics finite element analysis of concrete structures , 2005 .

[8]  Stephen A. Stanhope Evolution strategies for multivariate-to-anything partially specified random vector generation , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

[9]  Dimos C. Charmpis,et al.  A heuristic approach for the generation of multivariate random samples with specified marginal distributions and correlation matrix , 2004, Comput. Stat..

[10]  I. W. Hunter,et al.  Generation of random sequences with jointly specified probability density and autocorrelation functions , 1983, Biological Cybernetics.

[11]  S. Dreyfus,et al.  Thermodynamical Approach to the Traveling Salesman Problem : An Efficient Simulation Algorithm , 2004 .

[12]  Barry L. Nelson,et al.  Modeling and generating multivariate time-series input processes using a vector autoregressive technique , 2003, TOMC.

[13]  Shane G. Henderson,et al.  Behavior of the NORTA method for correlated random vector generation as the dimension increases , 2003, TOMC.

[14]  Michal Kaut,et al.  A Heuristic for Moment-Matching Scenario Generation , 2003, Comput. Optim. Appl..

[15]  D. Novák,et al.  Small-sample probabilistic assessment-FREET software , 2003 .

[16]  A. Olsson,et al.  On Latin hypercube sampling for structural reliability analysis , 2003 .

[17]  Drahomír Novák,et al.  Efficient random fields simulation for stochastic FEM analyses , 2003 .

[18]  D. Novák,et al.  Statistical correlation in stratified sampling , 2003 .

[19]  Jon C. Helton,et al.  Latin Hypercube Sampling and the Propagation of Uncertainty in Analyses of Complex Systems , 2002 .

[20]  MOŽNOSTI A VYLEPŠENÍ SIMULAČNÍ METODY LHS LIMITATIONS OF AND IMPROVEMENTS TO LHS , 2002 .

[21]  Miroslav Vořechovský Correlated Random Variables in Probabilistic Simulation , 2002 .

[22]  Richard J. Beckman,et al.  A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code , 2000, Technometrics.

[23]  Lester Ingber,et al.  Adaptive simulated annealing (ASA): Lessons learned , 2000, ArXiv.

[24]  Todd C. Headrick,et al.  Simulating correlated multivariate nonnormal distributions: Extending the fleishman power method , 1999 .

[25]  D. Huntington,et al.  Improvements to and limitations of Latin hypercube sampling , 1998 .

[26]  Philip M. Lurie,et al.  An Approximate Method for Sampling Correlated Random Variables From Partially-Specified Distributions , 1998 .

[27]  R. Kielbasa,et al.  Efficient average quality index estimation of integrated circuits by modified Latin hypercube sampling Monte Carlo (MLHSMC) , 1997, Proceedings of 1997 IEEE International Symposium on Circuits and Systems. Circuits and Systems in the Information Age ISCAS '97.

[28]  Gilbert Laporte,et al.  Metaheuristics: A bibliography , 1996, Ann. Oper. Res..

[29]  A. Owen Controlling correlations in latin hypercube samples , 1994 .

[30]  R. Bucy,et al.  Decision tree design by simulated annealing , 1993 .

[31]  Aleš Florian,et al.  An efficient sampling scheme: Updated Latin Hypercube Sampling , 1992 .

[32]  R. S. Parrish,et al.  Generating random deviates from multivariate Pearson distributions , 1990 .

[33]  Bilal M. Ayyub,et al.  Structural Reliability Assessment Using Latin Hypercube Sampling , 1990 .

[34]  R. H. J. M. Otten,et al.  The Annealing Algorithm , 1989 .

[35]  Stuart German,et al.  Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images , 1988 .

[36]  Emile H. L. Aarts,et al.  Simulated Annealing: Theory and Applications , 1987, Mathematics and Its Applications.

[37]  M. Stein Large sample properties of simulations using latin hypercube sampling , 1987 .

[38]  J. R. Thompson,et al.  A data based algorithm for the generation of random vectors , 1986 .

[39]  A. Kiureghian,et al.  Multivariate distribution models with prescribed marginals and covariances , 1986 .

[40]  R. Cheng Generation of multivariate normal samples with given sample mean and covariance matrix , 1985 .

[41]  Donald Geman,et al.  Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[42]  C. D. Vale,et al.  Simulating multivariate nonnormal distributions , 1983 .

[43]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[44]  R. Iman,et al.  A distribution-free approach to inducing rank correlation among input variables , 1982 .

[45]  Ronald L. Iman,et al.  Risk methodology for geologic disposal of radioactive waste: small sample sensitivity analysis techniques for computer models, with an application to risk assessment , 1980 .

[46]  Allen I. Fleishman A method for simulating non-normal distributions , 1978 .

[47]  Joseph L. Hammond,et al.  Generation of Pseudorandom Numbers with Specified Univariate Distributions and Correlation Coefficients , 1975, IEEE Transactions on Systems, Man, and Cybernetics.

[48]  A. W. Hendry International conference on structural safety and reliability: Edited A.M. Freudenthal, Pergamon Press, 1972 , 1973 .

[49]  Kanti V. Mardia,et al.  Families of Bivariate Distributions , 1970 .

[50]  D. Stoller,et al.  On the Generation of Normal Random Vectors , 1962 .

[51]  H. D. Patterson The Errors of Lattice Sampling , 1954 .

[52]  N. Metropolis,et al.  Equation of State Calculations by Fast Computing Machines , 1953, Resonance.

[53]  N. L. Johnson,et al.  Systems of frequency curves generated by methods of translation. , 1949, Biometrika.