| Personal Website | https://sites.google.com/site/fjavierrubio67/ |
| GitHub | https://github.com/FJRubio67 |
New preprint with Z. Wu, F. Leisen, and M. Luque-Fernandez:
"Conformalized Super Learner"
https://arxiv.org/abs/2604.22391
We propose integrating the Super Learner with conformal prediction via a weighted majority vote to construct prediction intervals for continuous outcomes with coverage guarantees.
R code and data: https://github.com/ZWU-001/CSL
Workshop registration – A mathematical Sciences Curriculum in the Age of Generative AI
📅 Date: Wednesday 1 June 2026
✴️ In-person at University College London
🌐 Workshop website: https://lnkd.in/ecKMksd5
🔗 Registration form (no registration fee): https://lnkd.in/eYeT5XHu
Registration deadline: 11 May 2026
If you have any questions, please don’t hesitate to contact us: Ruth Reynolds ([email protected]) and Takoua Jendoubi ([email protected])
I had the pleasure of speaking to students at both Duke University and Wake Forest University about the existential crisis that many of them are feeling right now:
In the age of AI, is my degree worthless?
March 2026 ISBA Bulletin, featuring a little contribution by Mark Steel and me on the 80th anniversary of the Jeffreys' prior.
Pleased to share that the paper by our student Adam Iqbal (co-supervised with Emmanuel Ogundimu) has been accepted for publication in Computational Statistics.
“Bayesian variable selection in sample selection models using spike-and-slab priors”
https://arxiv.org/abs/2312.03538
R code and data: https://github.com/adam-iqbal/selection-spike-slab
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
UCL Statistical Science
Davis Vaughan
Terence Tao