pyABC: distributed, likelihood‐free inference
Sign Up to like & getrecommendations! Published in 2018 at "Bioinformatics"
DOI: 10.1093/bioinformatics/bty361
Abstract: Summary: Likelihood‐free methods are often required for inference in systems biology. While approximate Bayesian computation (ABC) provides a theoretical solution, its practical application has often been challenging due to its high computational demands. To scale… read more here.
Keywords: pyabc distributed; likelihood free; abc smc; free inference ... See more keywords
Massive optimal data compression and density estimation for scalable, likelihood-free inference in cosmology
Sign Up to like & getrecommendations! Published in 2018 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/sty819
Abstract: Many statistical models in cosmology can be simulated forwards but have intractable likelihood functions. Likelihood-free inference methods allow us to perform Bayesian inference from these models using only forward simulations, free from any likelihood assumptions… read more here.
Keywords: likelihood free; cosmology; free inference; data compression ... See more keywords
Fast likelihood-free cosmology with neural density estimators and active learning
Sign Up to like & getrecommendations! Published in 2019 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stz1960
Abstract: Likelihood-free inference provides a framework for performing rigorous Bayesian inference using only forward simulations, properly accounting for all physical and observational effects that can be successfully included in the simulations. The key challenge for likelihood-free… read more here.
Keywords: active learning; likelihood free; cosmology; neural density ... See more keywords
Sum of the masses of the Milky Way and M31: A likelihood-free inference approach
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DOI: 10.1103/physrevd.103.023009
Abstract: We use density estimation likelihood-free inference, $\mathrm{\ensuremath{\Lambda}}$ cold dark matter simulations of $\ensuremath{\sim}2M$ galaxy pairs, and data from Gaia and the Hubble Space Telescope to infer the sum of the masses of the Milky Way… read more here.
Keywords: free inference; sum masses; likelihood free; masses milky ... See more keywords