Articles by YoungStatS

Recent Advances in COVID-19 modelling

February 3, 2021 | YoungStatS

YoungStatS project of Young Statisticians Europe, FENStatS, proudly announces our first One World YoungStatS webinar. With four young scholars, we will discuss Recent Advances in the Modelling of COVID-19, presenting novel statistical models, interesti... [Read more...]

Machine learning for causal inference that works

January 25, 2021 | YoungStatS

I’ve kindly been invited to share a few words about a recent paper my colleagues and I published in Bayesian Analysis: “Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects”. In that paper, we motivate and describe a method that we call Bayesian causal forests (BCF), ...
[Read more...]

The Mulitple Latent Block Model for mixed data

January 4, 2021 | YoungStatS

Abstract Co-clustering techniques, which group observations and features simultaneously, have proven to be efficient in summarising data sets. They exploit the dualism between rows and columns and the data set is summarized in blocks (the crossing of a row-cluster and a column-cluster). However, in the case of mixed data sets (...
[Read more...]

Making an Online Risk Calculator

November 10, 2020 | YoungStatS

We first started making risk calculators with the website, There are several here, and they are patient friendly. Later, we launched, which has many more risk calculators, although the intended audience is the ...
[Read more...]

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)