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Complex phenomena in engineering and the sciences are often modeled with computationally intensive feed-forward simulations for which a tractable analytic likelihood does not exist.
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Diagnostic tools for approximate Bayesian computation using the coverage property
Dennis Prangle, Michael GB Blum, G Popovic, and SA Sisson · 2014
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The Community Earth System Model (CESM) large ensemble project: a community resource for studying climate change in the presence of internal climate Variability
Jennifer Kay, C. Deser, A Phillips, A Mai, Cecile Hannay, G. Strand, J. Arblaster, Susan Bates, G. Danabasoglu, James Edwards, M. Holland, Paul Kushner, Jean-François Lamarque, D. Lawrence, Keith Lindsay, A Middleton, Ernesto Munoz, R. Neale, Keith Oleson, and Mariana Vertenstein · 2015
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Generative image modeling using spatial lstms
Lucas Theis and Matthias Bethge · 2015
KiDS-450: cosmological parameter constraints from tomographic weak gravitational lensing
H. Hildebrandt, M. Viola, C. Heymans, S. Joudaki, K. Kuijken, et al · 2017
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Masked autoregressive flow for density estimation
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Flexible statistical inference for mechanistic models of neural dynamics
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Local two-sample testing: a new tool for analysing high-dimensional astronomical data
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Danilo Jimenez Rezende and Shakir Mohamed · 2015
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Approximating likelihood ratios with calibrated discriminative classifiers
Kyle Cranmer, Juan Pavez, and Gilles Louppe · 2015
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Fast two-sample testing with analytic representations of probability measures
Kacper Chwialkowski, Aaditya Ramdas, Dino Sejdinovic, and Arthur Gretton · 2015
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A new model to predict weak-lensing peak counts-I. comparison with N-body simulations
Chieh-An Lin and Martin Kilbinger · 2015
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Cosmology from cosmic shear with Dark Energy Survey Science Verification data
T. Abbott, F. B. Abdalla, S. Allam, A. Amara, Annis, et al · 2016
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Cosmology constraints from shear peak statistics in Dark Energy Survey Science verification data
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Handbook of Approximate Bayesian Computation
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Non-Gaussian information from weak lensing data via deep learning
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Gaussian process modelling in approximate bayesian computation to estimate horizontal gene transfer in bacteria
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Validating Bayesian inference algorithms with simulation-based calibration
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Global and Local Two-Sample Tests via Regression
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Automatic posterior transformation for likelihood-free inference
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An assessment of photometric redshift PDF performance in the context of LSST
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Cosmogan: creating high-fidelity weak lensing convergence maps using generative adversarial networks
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