perfectns: perfect dynamic and standard nested sampling for spherically symmetric likelihoods and priors

Python Submitted 21 September 2018Published 03 October 2018
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Editor: @arfon (all papers)
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Authors

Edward Higson (0000-0001-8383-4614)

Citation

Higson, (2018). perfectns: perfect dynamic and standard nested sampling for spherically symmetric likelihoods and priors. Journal of Open Source Software, 3(30), 985, https://doi.org/10.21105/joss.00985

@article{Higson2018, doi = {10.21105/joss.00985}, url = {https://doi.org/10.21105/joss.00985}, year = {2018}, publisher = {The Open Journal}, volume = {3}, number = {30}, pages = {985}, author = {Edward Higson}, title = {``perfectns``: perfect dynamic and standard nested sampling for spherically symmetric likelihoods and priors}, journal = {Journal of Open Source Software} }
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nested sampling dynamic nested sampling Bayesian inference

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