https://pypi.org/project/popsregression/ Recent updates to the Python Package Index for popsregression en https://pypi.org/project/popsregression/0.4.0/ Bayesian regression for low-noise data with misspecification uncertainty (POPS algorithm). tswin@umich.edu, danny_perez@lanl.gov Mon, 16 Mar 2026 21:52:33 GMT https://pypi.org/project/popsregression/0.3.7/ Bayesian regression for low-noise data using POPS algorithm thomas.swinburne@cnrs.fr, danny_perez@lanl.gov Thu, 19 Feb 2026 13:22:37 GMT https://pypi.org/project/popsregression/0.3.6/ Bayesian regression for low-noise data using POPS algorithm thomas.swinburne@cnrs.fr, danny_perez@lanl.gov Wed, 18 Feb 2026 17:21:02 GMT https://pypi.org/project/popsregression/0.3.5/ Bayesian regression for low-noise data using POPS algorithm thomas.swinburne@cnrs.fr, danny_perez@lanl.gov Wed, 26 Nov 2025 22:48:51 GMT https://pypi.org/project/popsregression/0.3.4/ Bayesian regression for low-noise data using POPS algorithm thomas.swinburne@cnrs.fr, danny_perez@lanl.gov Fri, 07 Feb 2025 14:18:38 GMT https://pypi.org/project/popsregression/0.3.3/ Bayesian regression for low-noise data using POPS algorithm thomas.swinburne@cnrs.fr, danny_perez@lanl.gov Fri, 07 Feb 2025 14:16:01 GMT https://pypi.org/project/popsregression/0.3.2/ Bayesian regression for low-noise data using POPS algorithm thomas.swinburne@cnrs.fr, danny_perez@lanl.gov Fri, 07 Feb 2025 13:44:48 GMT https://pypi.org/project/popsregression/0.3.1/ Bayesian regression for low-noise data using POPS algorithm thomas.swinburne@cnrs.fr, danny_perez@lanl.gov Wed, 05 Feb 2025 14:10:05 GMT https://pypi.org/project/popsregression/0.3.0/ Bayesian regression for low-noise data using POPS algorithm thomas.swinburne@cnrs.fr, danny_perez@lanl.gov Wed, 05 Feb 2025 13:40:03 GMT https://pypi.org/project/popsregression/0.2.8.2/ Bayesian regression for low-noise data using POPS algorithm thomas.swinburne@cnrs.fr, danny_perez@lanl.gov Mon, 14 Oct 2024 16:03:09 GMT https://pypi.org/project/popsregression/0.2.8.1/ Bayesian regression for low-noise data using POPS algorithm thomas.swinburne@cnrs.fr, danny_perez@lanl.gov Fri, 11 Oct 2024 14:47:22 GMT https://pypi.org/project/popsregression/0.2.7/ Bayesian regression for low-noise data using POPS algorithm thomas.swinburne@cnrs.fr, danny_perez@lanl.gov Fri, 11 Oct 2024 11:45:26 GMT https://pypi.org/project/popsregression/0.2.6/ Bayesian regression for low-noise data using POPS algorithm thomas.swinburne@cnrs.fr, danny_perez@lanl.gov Fri, 11 Oct 2024 11:43:28 GMT https://pypi.org/project/popsregression/0.2.5/ Bayesian regression for low-noise data using POPS algorithm thomas.swinburne@cnrs.fr, danny_perez@lanl.gov Fri, 11 Oct 2024 11:38:40 GMT https://pypi.org/project/popsregression/0.2.4/ Bayesian regression for low-noise data using POPS algorithm thomas.swinburne@cnrs.fr, danny_perez@lanl.gov Fri, 11 Oct 2024 11:12:44 GMT https://pypi.org/project/popsregression/0.2.3/ Bayesian regression for low-noise data using POPS algorithm thomas.swinburne@cnrs.fr, danny_perez@lanl.gov Fri, 11 Oct 2024 11:10:26 GMT https://pypi.org/project/popsregression/0.2.2/ Bayesian regression for low-noise data using POPS algorithm thomas.swinburne@cnrs.fr, danny_perez@lanl.gov Fri, 11 Oct 2024 10:36:05 GMT https://pypi.org/project/popsregression/0.2.1/ Bayesian regression for low-noise data using POPS algorithm thomas.swinburne@cnrs.fr, danny_perez@lanl.gov Fri, 11 Oct 2024 10:33:00 GMT https://pypi.org/project/popsregression/0.2.0/ Bayesian regression for low-noise data using POPS algorithm thomas.swinburne@cnrs.fr, danny_perez@lanl.gov Fri, 11 Oct 2024 10:28:03 GMT