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Bayesian synthetic likelihood (BSL) is now an established method for conducting approximate Bayesian inference in models where, due to the intractability of the likelihood function, exact Bayesian approaches are either infeasible or computationally too demanding.
Bayesian inference using synthetic likelihood: asymptotics and adjustments
Frazier, D. T., Nott, D. J., Drovandi, C., and Kohn, R. (2019) · 1902
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Bayesian inference using synthetic likelihood: asymptotics and adjustments
Frazier, D. T., Nott, D. J., Drovandi, C., and Kohn, R. (2019) · 1902
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The frontier of simulation-based inference
Cranmer, K., Brehmer, J., and Louppe, G. (2019) · 1911
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The frontier of simulation-based inference
Cranmer, K., Brehmer, J., and Louppe, G. (2019) · 1911
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Science and statistics
Box, G. E. (1976) · 1976
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Science and statistics
Box, G. E. (1976) · 1976
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Evaluating the accuracy of sampling-based approaches to the calculations of posterior moments
Geweke, J. (1992) · 1992
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Evaluating the accuracy of sampling-based approaches to the calculations of posterior moments
Geweke, J. (1992) · 1992
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Slice sampling
Neal, R. M. (2003) · 2003
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Slice sampling
Neal, R. M. (2003) · 2003
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Inference for stereological extremes
Bortot, P., Coles, S. G., and Sisson, S. A. (2007) · 2007
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Inference for stereological extremes
Bortot, P., Coles, S. G., and Sisson, S. A. (2007) · 2007
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The Bayesian lasso
Park, T. and Casella, G. (2008) · 2008
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The Bayesian lasso
Park, T. and Casella, G. (2008) · 2008
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The pseudo-marginal approach for efficient Monte Carlo computations
Andrieu, C. and Roberts, G. O. (2009) · 2009
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Model criticism based on likelihood-free inference, with an application to protein network evolution
Ratmann, O., Andrieu, C., Wiuf, C., and Richardson, S. (2009) · 2009
Earlier work this paper cites.
The pseudo-marginal approach for efficient Monte Carlo computations
Andrieu, C. and Roberts, G. O. (2009) · 2009
Earlier work this paper cites.
Model criticism based on likelihood-free inference, with an application to protein network evolution
Ratmann, O., Andrieu, C., Wiuf, C., and Richardson, S. (2009) · 2009
Earlier work this paper cites.
Statistical inference for noisy nonlinear ecological dynamic systems
Wood, S. N. (2010) · 2010
Cited alongside, same era.
Statistical inference for noisy nonlinear ecological dynamic systems
Wood, S. N. (2010) · 2010
Cited alongside, same era.
Robust statistics: the approach based on influence functions
Hampel, F. R., Ronchetti, E. M., Rousseeuw, P. J., and Stahel, W. A. (2011) · 2011
Cited alongside, same era.
Robust statistics: the approach based on influence functions
Hampel, F. R., Ronchetti, E. M., Rousseeuw, P. J., and Stahel, W. A. (2011) · 2011
Cited alongside, same era.
Bhattacharya, A., Pati, D., Pillai, N. S., and Dunson, D. B. (2012) · 2012
Cited alongside, same era.
The Bernstein-von-Mises theorem under misspecification
Bayesian optimization for likelihood-free inference of simulator-based statistical models
Gutmann, M. U. and Corander, J. (2016) · 2016
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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)
Marchand, P., Boenke, M., and Green, D. M. (2017) · 2017
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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)
Marchand, P., Boenke, M., and Green, D. M. (2017) · 2017
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Inferring parameters for a lattice-free model of cell migration and proliferation using experimental data
Browning, A. P., McCue, S. W., Binny, R. N., Plank, M. J., Shah, E. T., and Simpson, M. J. (2018) · 2018
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Asymptotics of abc
Fearnhead, P. (2018) · 2018
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Kleijn, B. and Van der Vaart, A. (2012) · 2012
Cited alongside, same era.
Approximate Bayesian computational methods
Marin, J.-M., Pudlo, P., Robert, C. P., and Ryder, R. J. (2012) · 2012
Cited alongside, same era.
Robust asymptotic statistics
Rieder, H. (2012) · 2012
Cited alongside, same era.
Bhattacharya, A., Pati, D., Pillai, N. S., and Dunson, D. B. (2012) · 2012
Cited alongside, same era.
The Bernstein-von-Mises theorem under misspecification
Kleijn, B. and Van der Vaart, A. (2012) · 2012
Cited alongside, same era.
Approximate Bayesian computational methods
Marin, J.-M., Pudlo, P., Robert, C. P., and Ryder, R. J. (2012) · 2012
Cited alongside, same era.
Robust asymptotic statistics
Rieder, H. (2012) · 2012
Cited alongside, same era.
Asymptotic properties of approximate Bayesian computation
Frazier, D. T., Martin, G. M., Robert, C. P., and Rousseau, J. (2018) · 2018
Later among the works it cites.
Sequential neural likelihood: Fast likelihood-free inference with autoregressive flows
Papamakarios, G., Sterratt, D. C., and Murray, I. (2018) · 2018
Later among the works it cites.
Bayesian synthetic likelihood
Price, L. F., Drovandi, C. C., Lee, A., and Nott, D. J. (2018) · 2018
Later among the works it cites.
Inferring parameters for a lattice-free model of cell migration and proliferation using experimental data
Browning, A. P., McCue, S. W., Binny, R. N., Plank, M. J., Shah, E. T., and Simpson, M. J. (2018) · 2018
Later among the works it cites.
Asymptotics of abc
Fearnhead, P. (2018) · 2018
Later among the works it cites.
Asymptotic properties of approximate Bayesian computation
Frazier, D. T., Martin, G. M., Robert, C. P., and Rousseau, J. (2018) · 2018
Later among the works it cites.
Sequential neural likelihood: Fast likelihood-free inference with autoregressive flows
Papamakarios, G., Sterratt, D. C., and Murray, I. (2018) · 2018
Later among the works it cites.
Bayesian synthetic likelihood
Price, L. F., Drovandi, C. C., Lee, A., and Nott, D. J. (2018) · 2018
Later among the works it cites.
Robust Bayesian synthetic likelihood via a semi-parametric approach
An, Z., Nott, D. J., and Drovandi, C. (2020) · 2020
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Model misspecification in approximate bayesian computation: consequences and diagnostics
Frazier, D. T., Robert, C. P., and Rousseau, J. (2020) · 2020
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Robust Bayesian synthetic likelihood via a semi-parametric approach
An, Z., Nott, D. J., and Drovandi, C. (2020) · 2020
Closest in time.
Model misspecification in approximate bayesian computation: consequences and diagnostics
Frazier, D. T., Robert, C. P., and Rousseau, J. (2020) · 2020
Closest in time.