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Implementing Bayesian inference is often computationally challenging in applications involving complex models, and sometimes calculating the likelihood itself is difficult.
Robust approximate Bayesian inference with synthetic likelihood
Frazier, D. T. and C. Drovandi (2019) · 1904
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Efficient Bayesian synthetic likelihood with whitening transformations
Priddle, J. W., S. A. Sisson, D. T. Frazier, and C. Drovandi (2019) · 1909
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The asymptotic distribution of serial covariances
Hannan, E. J. (1976) · 1976
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Comparison of three methods for selecting values of input variables in the analysis of output from a computer code
McKay, M., R. Beckman, and W. Conover (1979) · 1979
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A note on importance sampling using standardized weights
Kong, A. (1992) · 1992
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Theory of point estimation
Lehmann, E. L. and G. Casella (1998) · 1998
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An MCMC approach to classical estimation
Chernozhukov, V. and H. Hong (2003) · 2003
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Penalized normal likelihood and ridge regularization of correlation and covariance matrices
Warton, D. I. (2008) · 2008
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Statistical inference for noisy nonlinear ecological dynamic systems
Wood, S. N. (2010) · 2010
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Chaudhuri, S., S. Ghosh, D. J. Nott, and K. C. Pham (2020) · 2011
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Bootstrap methods for dependent data: A review
Kreiss, J.-P. and E. Paparoditis (2011) · 2011
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A tail inequality for quadratic forms of subgaussian random vectors
Hsu, D., S. Kakade, T. Zhang, et al. (2012) · 2012
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On some properties of Markov chain Monte Carlo simulation methods based on the particle filter
Pitt, M. K., R. d. S. Silva, P. Giordani, and R. Kohn (2012) · 2012
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Bayesian computation via empirical likelihood
Mengersen, K. L., P. Pudlo, and C. P. Robert (2013) · 2013
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Risk of Bayesian inference in misspecified models, and the sandwich covariance matrix
Müller, U. K. (2013) · 2013
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A stochastic movement model reproduces patterns of site fidelity and long-distance dispersal in a population of Fowler’s toads (Anaxyrus fowleri)
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The correlated pseudo-marginal method
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Fasiolo, M., S. N. Wood, F. Hartig, and M. V. Bravington (2018) · 2018
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The ABC of simulation estimation with auxiliary statistics
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Asymptotic properties of approximate Bayesian computation
Frazier, D. T., G. M. Martin, C. P. Robert, and J. Rousseau (2018) · 2018
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Bayesian synthetic likelihood
Price, L. F., C. C. Drovandi, A. C. Lee, and D. J. Nott (2018) · 2018
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A general framework for updating belief distributions
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Boostrapped synthetic likelihood
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Handbook of Approximate Bayesian Computation
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Accelerating Bayesian synthetic likelihood with the graphical lasso
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Robust Bayesian synthetic likelihood via a semi-parametric approach
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Likelihood-free inference by ratio estimation
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