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Bayesian experimental design involves the optimal allocation of resources in an experiment, with the aim of optimising cost and performance.
On information and sufficiency
Kullback, S. and Leibler, R. A. (1951) · 1951
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Stock and recruitment
Ricker, W. E. (1954) · 1954
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Theory of Optimal Experiments Designs
Fedorov, V. (1972) · 1972
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The application of Bayesian methods for seeking the extremum
Mockus, J., Tiesis, V., and Zilinskas, A. (1978) · 1978
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Bayesianly justifiable and relevant frequency calculations for the applied statistician
Rubin, D. B. (1984) · 1984
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Optimum Experimental Designs
Atkinson, A. C. and Donev, A. N. (1992) · 1992
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Simulation-based optimal design
Müller, P. (1999) · 1999
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The matérn function as a general model for soil variograms
Minasny, B. and McBratney, A. B. (2005) · 2003
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Asymptotic theory of information-theoretic experimental design
Paninski, L. (2005) · 2005
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Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
Rasmussen, C. E. and Williams, C. K. I. (2005) · 2005
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An Introduction to Stochastic Epidemic Models
Allen, L. J. S. (2008) · 2008
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Optimal observation times in experimental epidemic processes
Cook, A. R., Gibson, G. J., and Gilligan, C. A. (2008) · 2008
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Statistical inference for noisy nonlinear ecological dynamic systems
Wood, S. N. (2010) · 2010
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Likelihood-free inference in cosmology: Potential for the estimation of luminosity functions
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Density Ratio Estimation in Machine Learning
Sugiyama, M., Suzuki, T., and Kanamori, T. (2012) · 2012
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Bayesian experimental design for models with intractable likelihoods
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Maximizing the information content of experiments in systems biology
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A review of modern computational algorithms for Bayesian optimal design
Ryan, E. G., Drovandi, C. C., McGree, J. M., and Pettitt, A. N. (2016) · 2016
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Taking the human out of the loop: A review of Bayesian optimization
Shahriari, B., Swersky, K., Wang, Z., Adams, R. P., and de Freitas, N. (2016) · 2016
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Likelihood-free inference by ratio estimation
Thomas, O., Dutta, R., Corander, J., Kaski, S., and Gutmann, M. U. (2016) · 2016
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Bayesian design of experiments using approximate coordinate exchange
Overstall, A. M. and Woods, D. C. (2017) · 2017
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Massive optimal data compression and density estimation for scalable, likelihood-free inference in cosmology
Alsing, J., Wandelt, B., and Feeney, S. (2018) · 2018
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Optimal Bayesian design for discriminating between models with intractable likelihoods in epidemiology
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Estimating the transmission dynamics of streptococcus pneumoniae from strain prevalence data
Numminen, E., Cheng, L., Gyllenberg, M., and Corander, J. (2013) · 2013
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GPyOpt: A Bayesian optimization framework in python
GPyOpt (2016) · 2016
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Likelihood-free extensions for Bayesian sequentially designed experiments
Hainy, M., Drovandi, C. C., and McGree, J. (2016) · 2016
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On the efficient determination of optimal Bayesian experimental designs using ABC: A case study in optimal observation of epidemics
Price, D. J., Bean, N. G., Ross, J. V., and Tuke, J. (2016) · 2016
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Dehideniya, M. B., Drovandi, C. C., and McGree, J. M. (2018) · 2018
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BOCK : Bayesian optimization with cylindrical kernels
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Bayesian design of experiments for intractable likelihood models using coupled auxiliary models and multivariate emulation
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An induced natural selection heuristic for finding optimal Bayesian experimental designs
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Approximate Bayesian computation in population genetics
Beaumont, M., Zhang, W., and Balding, D. (2002) · 2035
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