About Me
You can find my full CV by clicking on the download button at the top of the page.
Table of contents
Basics
Name | Luca Merlo |
Label | Researcher |
luca.merlo@unier.it | |
Url | https://www.universitaeuropeadiroma.it/transizione-digitale/docenti/luca-merlo/ |
Lab page | quantileregressionlab.github.io |
Orcid | 0000-0001-5267-5390 |
Work
- 2022.08 - Present
Education
-
2018.11 - 2022.02 PhD in Statistical Sciences
Sapienza University of Rome, Rome, Italy
Statistics
- Thesis title: On quantile regression models for multivariate data.
- Supervisor: Prof. Lea Petrella.
Interests
Methods | |
Quantile regression, multivariate quantiles, M-quantiles | |
Latent variable models, finite mixture models | |
Graphical models | |
Causal inference |
Applications | |
Longitudinal data | |
Time series | |
Correlated data | |
Environmental issues |
Awards
- 2023.06.20
Best Young Contribution - SIS 2023
Italian Statistical Society
Best Young Contribution Award at the SIS 2023 conference for the work 'Quantile-based graphical models for continuous and discrete variables' (joint with Petrella, L. and Geraci, M.).
- 2023.06.07
Best PhD Thesis Award - SIS 2023
Italian Statistical Society
Honorable Mention for the 2023 Best PhD Thesis Award in Statistics for the dissertation 'On quantile regression models for multivariate data'.
Languages
Italian | |
Native speaker |
English | |
Fluent |
French | |
Fluent |