Without-replacement sampling for particle methods on finite state spaces

[1]  渡辺 亮平,et al.  Sequential Monte Carlo , 2005, Nonlinear Time Series Analysis.

[2]  Tian Wang,et al.  Improved Particle Filter , 2014, CIT 2014.

[3]  Yee Whye Teh,et al.  Asynchronous Anytime Sequential Monte Carlo , 2014, NIPS.

[4]  Gerardo Rubino,et al.  Approximate Zero-Variance Importance Sampling for Static Network Reliability Estimation , 2011, IEEE Transactions on Reliability.

[5]  Yves Tillé,et al.  Sampling Algorithms , 2011, International Encyclopedia of Statistical Science.

[6]  Arnaud Doucet,et al.  Sequentially interacting Markov chain Monte Carlo methods , 2010, 1211.2582.

[7]  L. Bondesson,et al.  Pareto Sampling versus Sampford and Conditional Poisson Sampling , 2006 .

[8]  Eric Moulines,et al.  Comparison of resampling schemes for particle filtering , 2005, ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005..

[9]  Yuguo Chen,et al.  Sequential Monte Carlo Methods for Statistical Analysis of Tables , 2005 .

[10]  P. Fearnhead,et al.  On‐line inference for hidden Markov models via particle filters , 2003 .

[11]  Muhammad Qaiser Shahbaz,et al.  Sampling with Unequal Probabilities and Without Replacement , 2003 .

[12]  P. Moral,et al.  Sequential Monte Carlo samplers , 2002, cond-mat/0212648.

[13]  Tim Hesterberg,et al.  Monte Carlo Strategies in Scientific Computing , 2002, Technometrics.

[14]  W. Gilks,et al.  Following a moving target—Monte Carlo inference for dynamic Bayesian models , 2001 .

[15]  Rong Chen,et al.  A Theoretical Framework for Sequential Importance Sampling with Resampling , 2001, Sequential Monte Carlo Methods in Practice.

[16]  Nibia Aires Comparisons between conditional Poisson sampling and Pareto πps sampling designs , 2000 .

[17]  A. Winsor Sampling techniques. , 2000, Nursing times.

[18]  Jun S. Liu,et al.  Mixture Kalman filters , 2000 .

[19]  P. Fearnhead,et al.  Improved particle filter for nonlinear problems , 1999 .

[20]  B. Rosén Asymptotic theory for order sampling , 1997 .

[21]  B. Rosén On sampling with probability proportional to size , 1997 .

[22]  K. Riedel Numerical Bayesian Methods Applied to Signal Processing , 1996 .

[23]  Jun S. Liu,et al.  Blind Deconvolution via Sequential Imputations , 1995 .

[24]  M. Lomonosov On Monte Carlo Estimates in Network Reliability , 1994, Probability in the Engineering and Informational Sciences.

[25]  Jun S. Liu,et al.  Sequential Imputations and Bayesian Missing Data Problems , 1994 .

[26]  N. Gordon,et al.  Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .

[27]  Tov Elperin,et al.  Estimation of network reliability using graph evolution models , 1991 .

[28]  Mark Jerrum,et al.  Approximating the Permanent , 1989, SIAM J. Comput..

[29]  Ronaldo Iachan,et al.  Systematic Sampling: A Critical Review , 1982 .

[30]  Reuven Y. Rubinstein,et al.  Simulation and the Monte Carlo method , 1981, Wiley series in probability and mathematical statistics.

[31]  M. Sampford,et al.  On sampling without replacement with unequal probabilities of selection. , 1967, Biometrika.

[32]  Ronald Gus Kleibrink,et al.  Sampling with unequal probabilities and without replacement , 1966 .

[33]  F. T. Wall,et al.  New Method for the Statistical Computation of Polymer Dimensions , 1959 .

[34]  A. W. Rosenbluth,et al.  MONTE CARLO CALCULATION OF THE AVERAGE EXTENSION OF MOLECULAR CHAINS , 1955 .

[35]  J. Hammersley,et al.  Poor Man's Monte Carlo , 1954 .

[36]  W. G. Madow On the Theory of Systematic Sampling, III. Comparison of Centered and Random Start Systematic Sampling , 1953 .

[37]  D. Horvitz,et al.  A Generalization of Sampling Without Replacement from a Finite Universe , 1952 .

[38]  W. G. Madow On the Theory of Systematic Sampling, II , 1944 .