To whomever may read this blog, I’m excited to share that the second paper of my Ph.D. research which was published earlier in July at Earth’s Future journal has now been featured in Science News by the American Geophysical Union’s (AGU) Newsroom! In this work, me and my co-authors leveraged non-stationary extreme-value statistics of coastal […]
Track changes in LaTeX.
For my academic research, I usually prefer to write down a manuscript using LaTeX instead of MS Word, for obvious reasons; the latter is far away from being math friendly! Now, when you submit your work for peer-review, if you are lucky enough to get past the editor and get a second chance from the […]
Turn Notepad++ into an IDE for R.
Lately, I have been using Notepad++ as an R IDE. There are many reasons on why it might (or might not) be a good idea to abandon RStudio for a more lightweight option like Notepad++ for example. However, in this post I’m not gonna argue about which one is better, but rather I will show […]
Bayesian data analysis of extreme values with Stan and rstan.
In this post, I’m gonna provide an introductory tutorial for fitting an extreme value distribution via Bayesian analysis with Stan and its R interface, rstan. Stan is a probabilistic programming language written in C++ suitable for Bayesian inference and rstan is a package providing access to Stan thru R. More about Stan can be found […]
RRIr: R scripts for the Rainfall-Runoff-Inundation model.
The last couple of months I have been following the newsletter and activities of ICHARM i.e., the International Centre for Hazard Assessment and Risk Management. ICHARM, situated in Japan, is one of the Water Centers under the auspices of UNESCO which conduct research on water-related disasters, among others. Below is a picture from their 2021 […]