ASCL Code Record
[ascl:1212.006]
CosmoPMC: Cosmology sampling with Population Monte Carlo
Kilbinger, Martin; Benabed, Karim; Cappé, Olivier; Coupon, Jean; Cardoso, Jean-François; Fort, Gersende; McCracken, Henry Joy; Prunet, Simon; Robert, Christian P.; Wraith, Darren
CosmoPMC is a Monte-Carlo sampling method to explore the likelihood of various cosmological probes. The sampling engine is implemented with the package pmclib. It is called Population MonteCarlo (PMC), which is a novel technique to sample from the posterior. PMC is an adaptive importance sampling method which iteratively improves the proposal to approximate the posterior. This code has been introduced, tested and applied to various cosmology data sets.
- Code site:
- https://github.com/cosmostat/CosmoPMC
- Described in:
- https://ui.adsabs.harvard.edu/abs/2010MNRAS.405.2381K https://ui.adsabs.harvard.edu/abs/2009PhRvD..80b3507W
- Bibcode:
- 2012ascl.soft12006K
Preferred citation method:
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