Introduction
In this GitHub Page it will exposed different questions related to Bayesian statistics and modeling with a double purposse. Firstly, as a way of organizing material that I am developing throughout different projects and the PhD Degree. Secondly, as a possible help for those interested in this field, in case this material has any value for it.
The main topics that would be found here will be related to:
- INLA (Integrated Nested Laplace Approximation) and inlabru
- MCMC (Markov Chain Monte Carlo)
- Hierarchical modeling
- Spatial modeling
- Temporal modeling
- Spatio-temporal modeling
- Shiny applications
In order to adhere to a methodology in which the replicability and reproduction of the results obtained is absolutely mandatory, the version of the programming language, the programming environment for that language, along with the code and data used, are indicated at the beginning of each section. However, this alone may often be insufficient, so depending on the implemented code, it may be required to indicate the version of packages or libraries used in each case.
About me
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| My name is Mario Figueira and I am a PhD student in Statistics and Optimization at the University of Valencia, specifically my line of research focuses on spatio-temporal Bayesian modeling. |
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