Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference

Research article (Astronomy and Computing, 2020) · cited 41× · AI/ML
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Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference

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Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference. Retrieved May 24, 2026, from https://4ort.xyz/entity/conditional-density-estimation-tools-in-python-and-r-with-applications-to-photometric-redshifts-and-likelihood-free-cosm
MLA “Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/conditional-density-estimation-tools-in-python-and-r-with-applications-to-photometric-redshifts-and-likelihood-free-cosm.
BibTeX @misc{4ortxyz_conditional-density-estimation-tools-in-python-and-r-with-applications-to-photometric-redshifts-and-likelihood-free-cosm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference}}, year = {2026}, url = {https://4ort.xyz/entity/conditional-density-estimation-tools-in-python-and-r-with-applications-to-photometric-redshifts-and-likelihood-free-cosm}, note = {Accessed: 2026-05-24}}
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