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Commit 1b86a87e authored by Martin Renoult's avatar Martin Renoult
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Update README.md

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...@@ -13,7 +13,7 @@ emergent constraints: case studies of climate sensitivity with PMIP. Climate of ...@@ -13,7 +13,7 @@ emergent constraints: case studies of climate sensitivity with PMIP. Climate of
the Past. the Past.
The Bayesian method is using the package PyMC3: Salvatier J., Wiecki T.V., The Bayesian method is using the package PyMC3: Salvatier J., Wiecki T.V.,
Fonnesbeck C. (2016) Probabilistic programming in Python using PyMC3. Fonnesbeck C. (2016). Probabilistic programming in Python using PyMC3.
PeerJ Computer Science 2:e55 DOI: 10.7717/peerj-cs.55. PeerJ Computer Science 2:e55 DOI: 10.7717/peerj-cs.55.
See https://docs.pymc.io for installation. See https://docs.pymc.io for installation.
...@@ -23,6 +23,9 @@ https://github.com/Phlya/adjustText for installation. ...@@ -23,6 +23,9 @@ https://github.com/Phlya/adjustText for installation.
The conjugate prior approach is using the package spBayes. Please refer to the package description The conjugate prior approach is using the package spBayes. Please refer to the package description
by Finley and Banerjee (2020) https://cran.r-project.org/web/packages/spBayes/spBayes.pdf by Finley and Banerjee (2020) https://cran.r-project.org/web/packages/spBayes/spBayes.pdf
The Bayesian method in R is using the package RSTAN: Stan Development Team (2019).
“RStan: the R interface to Stan.” R package version 2.19.1, http://mc-stan.org/.
Other used packages are included in the standard Anaconda Distribution. Other used packages are included in the standard Anaconda Distribution.
For any inquiries or technical questions, please contact For any inquiries or technical questions, please contact
...@@ -30,6 +33,10 @@ Martin Renoult (Stockholm University, Bolin Centre for Climate Research and ...@@ -30,6 +33,10 @@ Martin Renoult (Stockholm University, Bolin Centre for Climate Research and
Department of Meteorology) Department of Meteorology)
martin.renoult@misu.su.se martin.renoult@misu.su.se
02/07/2020: - Corrected the conjugate prior approach (based on scaled variance) to make
it consistent with the Bayesian approach
- Added an R implementation of the Bayesian approach with RSTAN
21/05/2020: - Corrected a mistake in the computation of the variance L80 of the Kalman Filter 21/05/2020: - Corrected a mistake in the computation of the variance L80 of the Kalman Filter
- Updated the Bayesian approach with more annotations, removed some useless stuff - Updated the Bayesian approach with more annotations, removed some useless stuff
- Removed the previous OLS python script - Removed the previous OLS python script
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