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[ascl:2312.002] PROSPECT: Profile likelihood for frequentist cosmological inference

PROSPECT infers cosmological parameters using profile likelihoods. It constructs an approximate profile likelihood from an MCMC and optimizes it using simulated annealing, a gradient-free stochastic optimization algorithm. It employs an automatic tuning of the step size parameter and binned covariance matrices from the MCMC to achieve efficient optimizations of the profile likelihood.

Code site:
https://github.com/AarhusCosmology/prospect_public
Described in:
https://ui.adsabs.harvard.edu/abs/2023arXiv231202972B
Bibcode:
2023ascl.soft12002B
Preferred citation method:

Please see citation information at https://github.com/AarhusCosmology/prospect_public


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ascl:2312.002
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