pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology

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Sequential monte carlo samplers
Del Moral, Pierre, Doucet, Arnaud, & Jasra, Ajay. 2006 · 2006
Earlier work this paper cites.
Nested sampling for general Bayesian computation
Skilling, John. 2006 · 2006
Earlier work this paper cites.
Density estimation using real nvp
Original
Dinh, Laurent, Sohl-Dickstein, Jascha, & Bengio, Samy. 2016 · 2016
Earlier work this paper cites.

Masked autoregressive flow for density estimation
Papamakarios, George, Pavlakou, Theo, & Murray, Iain. 2017 · 2017
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Markov chain Monte Carlo methods for Bayesian data analysis in astronomy
Original
Sharma, Sanjib. 2017 · 2017
Cited alongside, same era.
Bayesian methods in cosmology
Original
Trotta, Roberto. 2017 · 2017
Cited alongside, same era.

Normalizing Flows for Probabilistic Modeling and Inference
Papamakarios, George, Nalisnick, Eric T, Rezende, Danilo Jimenez, Mohamed, Shakir, & Lakshminarayanan, Balaji. 2021 · 2021
Later among the works it cites.
Accelerating astronomical and cosmological inference with Preconditioned Monte Carlo
Karamanis, Minas, Beutler, Florian, Peacock, John A, Nabergoj, David, & Seljak, Uroš. 2022 · 2022
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Robust and fast parameter estimation of gravitational waves from neutron star merger remnants
Vretinaris, George, Vretinaris, Stamatis, Mermigkas, Christos, Karamanis, Minas, & Stergioulas, Nikolaos. 2022 · 2022
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