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DRAM: Efficient adaptive MCMC., , , and . Stat. Comput., 16 (4): 339-354 (2006)ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation., , , , , , , and . J. Stat. Softw., (2021)Learning Summary Statistics for Bayesian Inference with Autoencoders., , , , and . CoRR, (2022)Personalized pathology test for Cardio-vascular disease: Approximate Bayesian computation with discriminative summary statistics learning., , , , , , , , and . PLoS Comput. Biol., (2022)Discussion of the paper: "Sampling schemes for generalized linear Dirichlet process random effects models" by M. Kyung, J. Gill, and G. Casella., , and . Stat. Methods Appl., 20 (3): 295-297 (2011)An introduction to the special issue "Joint IMS-ISBA meeting - MCMSki 4"., and . Stat. Comput., 25 (1): 1 (2015)Flexible model selection for mechanistic network models., , and . J. Complex Networks, (2020)Control Variates for Constrained Variables., , and . IEEE Signal Process. Lett., (2022)Clustering by the local intrinsic dimension: the hidden structure of real-world data., , , and . CoRR, (2019)Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation., , , and . PLoS Comput. Biol., (2020)