Binary image classification using Keras in R: Using CT scans to predict patients with Covid

Here I illustrate how to train a CNN with Keras in R to predict from patients' CT scans those who will develop severe illness from Covid.

Why a career in statistical ecology?

I have been interviewed recently by Lise Viollat who’s preparing a documentary for our national research group in statistical ecology. I have written my two cents answers to her challenging and very relevant questions. Thank you Lise for the interview !

Pourquoi une carrière en écologie statistique?

Dans le cadre d’un documentaire que réalise Lise Viollat, celle-ci m’a posé des questions sur mon parcours en recherche, et en écologie statistique. Je reproduis mes réponses ici. Merci Lise pour l’entretien !

Draft chapter on Bayes stats and MCMC in R

I have a draft chapter on Bayes stats and MCMC at https://oliviergimenez.github.io/banana-book/crashcourse.html I’d love your feedback about what is confusing and what is missing 😇 #rstats

Bayesian analysis of capture-recapture data with hidden Markov models - Theory and case studies in R

So, I’m writing a book 🤯 It''’s called “Bayesian analysis of capture-recapture data with hidden Markov models - Theory and case studies in R”.

Experimenting with machine learning in R with tidymodels and the Kaggle titanic dataset

I would like to familiarize myself with machine learning (ML) techniques in R. So I have been reading and learning by doing. I thought I’d share my experience for others who’d like to give it a try1.

Quick and dirty analysis of a Twitter social network

I use R to retrieve some data from Twitter, do some exploratory data analysis and visualisation and examine a network of followers.

A review of the capture-recapture literature over the last decade

Our poster with Ruth King and Rachel McCrea for the 2021 Euring conference.