carlosgorlongaiatto/LabLOCP_B_Project

Time-scale correction for d18O data using Bayesian inference.

Time-scale correction for $\delta^{18} O$ data using Bayesian inference

Supervisor:

• Dr. Carlo Albert

Authors:

• Eugenio Fella
• Matteo Pedrazzi
• Gaetano Ricucci
• Carlo Sgorlon Gaiatto

Index:

• Stan-synthetic-study: synthetic study performed using Stan and problem description with theoretical digressions
• Timedeppar-synthetic-study: synthetic study performed with Timedeppar
• Timedeppar-case-study: case study performed with Timedeppar
• Stan-case-study: case study performed with Stan and comparison of results obtained with Stan and Timedeppar

Notes:

The csv files containing the samples obtained by running the Bayesian inference packages are not provided because they exceed GitHub's file size limits. If you need them, please ask one of the authors. Otherwise, you can run the notebooks yourself, but you will need several hours of computing time.