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Approximate Bayesian computation (ABC) and synthetic likelihood (SL) techniques have enabled the use of Bayesian inference for models that may be simulated, but for which the likelihood cannot be evaluated pointwise at values of an unknown parameter $\theta$.
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Ghurye, S. G. and Olkin, I. (1969) · 1969
Earlier work this paper cites.
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Bentley, J. L. (1975) · 1975
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Exact stochastic simulation of coupled chemical reactions
Gillespie, D. T. (1977) · 1977
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The Jackknife and the Bootstrap for General Stationary Observations
Kunsch, H. R. (1989) · 1989
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