Importance sampling for Bayesian estimation

[1]  J. Geweke,et al.  Bayesian Inference in Econometric Models Using Monte Carlo Integration , 1989 .

[2]  M. C. Jones Discretized and Interpolated Kernel Density Estimates , 1989 .

[3]  M. Johns Importance Sampling for Bootstrap Confidence Intervals , 1988 .

[4]  Allan R. Wilks,et al.  The new S language: a programming environment for data analysis and graphics , 1988 .

[5]  Philip Heidelberger,et al.  Measure specific dynamic importance sampling for availability simulations , 1987, WSC '87.

[6]  Michel C. Jeruchim,et al.  Developments in the Theory and Application of Importance Sampling , 1987, IEEE Trans. Commun..

[7]  Bruce R. Davis An Improved Importance Sampling Method for Digital Communication System Simulations , 1986, IEEE Trans. Commun..

[8]  Thomas E. Booth A Monte Carlo Learning/Biasing Experiment with Intelligent Random Numbers , 1986 .

[9]  K. Murthy,et al.  Analytical Results of Variance Reduction Characteristics of Biased Monte Carlo for Deep-Penetration Problems , 1986 .

[10]  J. E. H. Shaw,et al.  The implementation of the bayesian paradigm , 1985 .

[11]  Luc Bauwens,et al.  Bayesian Full Information Analysis of Simultaneous Equation Models Using Integration by Monte Carlo , 1984 .

[12]  Douglas R. Miller,et al.  An importance sampling scheme for simulating the degradation and failure of complex systems during finite missions , 1983, WSC '83.

[13]  Leland Stewart,et al.  Multiparameter Univariate Bayesian Analysis , 1979 .

[14]  D. Siegmund Importance Sampling in the Monte Carlo Study of Sequential Tests , 1976 .

[15]  T. Kloek,et al.  Bayesian estimates of equation system parameters, An application of integration by Monte Carlo , 1976 .

[16]  G. Marsaglia Expressing a Random Variable in Terms of Uniform Random Variables , 1961 .

[17]  H. Kahn,et al.  Methods of Reducing Sample Size in Monte Carlo Computations , 1953, Oper. Res..