| Personal Website | https://sites.google.com/site/fjavierrubio67/ |
| GitHub | https://github.com/FJRubio67 |
New short paper forthcoming in Statistics & Probability Letters:
An objective non-local prior for skew-symmetric models.
https://arxiv.org/abs/2603.08285
This paper develops a Moment-Objective Minimum-Discrepancy (MOOMIN) Prior for testing symmetry against skew-symmetric alternatives.
R code and data: https://github.com/FJRubio67/MOOMIN
New preprint with my student Eric Chen, co-supervised with Jim Griffin:
“Bayesian variable and hazard structure selection in the General Hazard model”
https://arxiv.org/abs/2602.03756
We develop Bayesian methododology for simultaneous selection of variables and the hazard structure in survival analysis
The effect of the shape (skewness) parameter in skew-symmetric models, Part III
Based on Le Cam divergence, showing that the effect of this parameter in some models, such as the skew-normal, is tiny in a neighbourhood of 0
Mathematical Colloquium (at King's College London): A duality in the foundations of probability and statistics through history by Vladimir Vovk
New paper with J.A. Christen, just accepted in Statistical Methods in Medical Research
"Hazard-based distributional regression via ordinary differential equations"
preprint: http://arxiv.org/abs/2512.16336
R and Julia code + data: https://github.com/FJRubio67/SurvMODE
I'm now also looking for a postdoc with strong Bayesian background and interest in developing Bayesian cross-validation theory, methods and software. Apply by email with no specific deadline (see contact information at https://users.aalto.fi/~ave/).
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📘 An interesting initial book release (still in progress) by David Rossell on variable and model selection:
👉 https://davidrusi.github.io/modelSelection-book/
it provides accessible material for students learning the fundamentals of high-dimensional model selection, and it documents the R package modelSelection (formerly mombf).
New paper with E.O. Ogundimu and our PhD student Adam Iqbal, just accepted in Bayesian Analysis
Bayesian Variable Selection Under Sample Selection and Model Misspecification
https://doi.org/10.1214/25-BA1567
R code and data can be found at:
New R package PTCMGH: The PTCMGH R package implements promotion time cure models with a general hazard structure. The package, along with a tutorial for simulating and fitting these models, can be found at:
https://github.com/FJRubio67/PTCMGH
Terence Tao
Aki Vehtari