- Published
- 2021-04-02
- Venue
- The Journal of Open Source Software, vol. 6, no. 60, pp. 3001
- Cited by
- 449
- Open access
- Yes, diamond
- DOI
- 10.21105/joss.03001
Abstract
Fit and compare complex models reliably and rapidly. Advanced nested sampling.
Cite this paper
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- APA 7
Büchner, J. (2021). UltraNest - a robust, general purpose Bayesian inference engine. The Journal of Open Source Software, 6(60), 3001. https://doi.org/10.21105/joss.03001
- MLA 9
Büchner, Johannes. "UltraNest - a robust, general purpose Bayesian inference engine." The Journal of Open Source Software, vol. 6, no. 60, 2021, pp. 3001, https://doi.org/10.21105/joss.03001.
- Chicago
Büchner, Johannes. "UltraNest - a robust, general purpose Bayesian inference engine." The Journal of Open Source Software 6, no. 60 (2021): 3001. https://doi.org/10.21105/joss.03001.
- GOST
Büchner J. UltraNest - a robust, general purpose Bayesian inference engine // The Journal of Open Source Software. — 2021. — Vol. 6, № 60. — P. 3001. — URL: https://doi.org/10.21105/joss.03001
- BibTeX
@article{buchner2021ultranest, title = {{UltraNest - a robust, general purpose Bayesian inference engine}}, author = {Johannes Büchner}, journal = {The Journal of Open Source Software}, year = {2021}, volume = {6}, number = {60}, pages = {3001}, doi = {10.21105/joss.03001}, url = {https://doi.org/10.21105/joss.03001} }- RIS
TY - JOUR AU - Büchner, Johannes TI - UltraNest - a robust, general purpose Bayesian inference engine JO - The Journal of Open Source Software VL - 6 IS - 60 SP - 3001 PY - 2021 DA - 2021/04/02 DO - 10.21105/joss.03001 UR - https://doi.org/10.21105/joss.03001 ER -
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