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Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation, , and . (2019)cite arxiv:1910.06121.A Bayesian model of acquisition and clearance of bacterial colonization., , , , , , , , and . CoRR, (2018)ELFI: Engine for Likelihood-Free Inference., , , , , , , , , and . J. Mach. Learn. Res., (2018)ERP in action - Challenges and benefits for management control in SME context., , and . Int. J. Account. Inf. Syst., 14 (4): 278-296 (2013)Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation., , and . UAI, volume 124 of Proceedings of Machine Learning Research, page 779-788. AUAI Press, (2020)Batch simulations and uncertainty quantification in Gaussian process surrogate-based approximate Bayesian computation., , and . CoRR, (2019)On predictive inference for intractable models via approximate Bayesian computation., and . Stat. Comput., 33 (2): 42 (April 2023)A framework for a network-level performance measurement system in SME networks., , , , , , , , , and 2 other author(s). Int. J. Netw. Virtual Organisations, 5 (3/4): 415-435 (2008)Parallel Gaussian process surrogate method to accelerate likelihood-free inference., , , and . CoRR, (2019)Bayesian analysis of GUHA hypotheses., , , and . J. Intell. Inf. Syst., 42 (1): 47-73 (2014)