Marta Catalano
I am an Assistant professor of Statistics at Luiss University in Rome.
Previously, I was a Harrison Early Career Assistant Professor at the University of Warwick. I am also affiliated to the BayesLab at Bocconi University.
A full version of my CV may be found here.
Research Interests
- Bayesian nonparametrics
- Statistical optimal transport and Wasserstein distances
- Stochastic processes and random measures
Upcoming Events
- The j-ISBA Peer Mentoring Scheme is now active
- ACM Transactions on Probabilistic Machine Learning is now open to submissions
- COBAL-EBEB 2024 (Belo Horizonte, Dec 2024)
- Recent Developments in the Techniques of Bayesian Paradigm (Varanasi, Jan 2025)
- Gatsby Computational Neuroscience Unit (London, 19 Feb 2025)
- BNP14 (Los Angeles, June 2025)
Preprints
- Merging Rate of Opinions via Optimal Transport on Random Measures.
M. Catalano and H. Lavenant (submitted). [arXiv]
Main Publications
- Hierarchical Integral Probability Metrics:
A distance on random probability measures with low sample complexity.
M. Catalano and H. Lavenant (2024).
Proceedings of the 41st International Conference on Machine Learning.
[arXiv] [bib] [web] - A Wasserstein Index of Dependence for Random Measures.
M. Catalano, H. Lavenant, A. Lijoi and I. Prünster (2024).
Journal of the American Statistical Association, 119(547), 2396–2406.
[arXiv] [bib] [web] - A Unified Approach to Hierarchical Random Measures.
M. Catalano, C. Del Sole, A. Lijoi, I. Prünster (2024).
Sankhya A, 86, 255-287.
[pdf] [bib] [web] - Bayesian Modeling via Discrete Nonparametric Priors.
M. Catalano, A. Lijoi, I. Prünster and T. Rigon (2023).
Japanese Journal of Statistics and Data Science, 6, 607–624.
[pdf] [bib] [web] - Posterior Asymptotics for Boosted Hierarchical Dirichlet Process Mixtures.
M. Catalano, P. De Blasi, A. Lijoi and I. Prünster (2022).
Journal of Machine Learning Research, 23(80), 1−23.
[pdf] [bib] [web] - Measuring Dependence in the Wasserstein Distance for Bayesian Nonparametric Models.
M. Catalano, A. Lijoi and I. Prünster (2021).
The Annals of Statistics, 49 (5), 2916-2947.
Winner of the ASA-SBSS 2021 Student Paper Competition.
[pdf] [bib] [web] [YoungStatS blog] - Approximation of Bayesian Models for Time-to-Event Data.
M. Catalano, A. Lijoi and I. Prünster (2020).
Electronic Journal of Statistics, 14, 3366-3395.
[pdf] [bib] [web]
Awards
- Faculty of Science, Engineering and Medicine Postdoctoral Prize, University of Warwick (2022)
- Finalist, Savage Award 2021 ‘Theory and Methods’ (2022)
- j-ISBA Blackwell-Rosenbluth Award (2021)
- IMS New Researcher Travel Award (2021)
- ASA-SBSS Student Paper Competition (2021)
Presentations
- DEMO2024 Workshop on Dependence Modelling (Ischia, Sep 2024)
- Workshop on Frontiers of Bayesian Inference and Data Science (Oaxaca, Sep 2024)
- Bernoulli-IMS World Congress (Bochum, Aug 2024)
- Interpretable Inference via Principled BNP Approaches in Biomedical Research and Beyond (Singapore, Jul 2024)
- VIASM Workshop on Bayesian learning and network analysis (Hanoi, Jul 2024)
- International Symposium on Nonparametric Statistics (Braga, Jun 2024)
- 4th Italian Meeting on Probability and Mathematical Statistics (Rome, Jun 2024)
- BNP-ISBA Webinar (Online, May 2024)
- Optimal Transport Cargese Workshop (Cargèse, Apr 2024)
- Autumn School in Bayesian Statistics, CIRM (Marseille, Nov 2023)
- ECOSTA 2023 (Tokyo, Aug 2023)
- Workshop Emerging Topics in Applications of Optimal Transport, ETH (Zürich, Jun 2023)
- Workshop Distance-based methods in Machine Learning, UCL (London, Jun 2023)
- Statistics Seminar, Imperial College London (London, May 2023)
- SIAM-IMA Student Chapter Conference, University of Manchester (Manchester, Apr 2023)
- IISA (Bangalore, Dec 2022)
- Statistics Seminars, Collegio Carlo Alberto (Torino, Dec 2022)
- Department of Mathematics, University of York (York, Nov 2022)
- BNP13 (Puerto Varas, Oct 2022)
- Bernoulli Young Researcher Event 2022 (Jul 2022)
- ISBA 2022 (Montreal, Jun 2022)
- SIS2022 (Caserta, Jun 2022)
- Third Italian Meeting on Probability and Mathematical Statistics (Bologna, Jun 2022)
- Workshop on Bayesian nonparametrics, Postech (Pohang, May 2022)
- 100 UMI - 800 UniPD (Padova, May 2022)
- StatML CDT, Imperial College London & University of Oxford (London, May 2022)
- S3AI, JK Universität Linz (May 2022).
- School of Mathematics, University of Edinburgh (Edinburgh, May 2022)
- BNP networking workshop (Nicosia, Apr 2022)
- Department of Economics and Finance, Luiss (Rome, Mar 2022)
- School of Mathematics, Cardiff University (Cardiff, Mar 2022)
- Applied Maths Seminars, University of Warwick (Coventry, Feb 2022)
- BIRS-CMO Workshop (Oaxaca, Nov 2021)
- Algorithms & Computationally Intensive Inference Seminars, University of Warwick (Coventry, Nov 2021)
- JB^3 for Blackwell-Rosenbluth Award (Nov 2021)
- Department of Statistical Sciences, University College London (London, Nov 2021)
- OxWaSP Annual Workshop (Oct 2021)
- JSM (Aug 2021)
- ISBA 2020 (Jun 2021)
- ECOSTA 2021 (Jun 2021)
- Department of Economics, University of Bergamo (May 2021)
- One World YoungStatS webinar (Apr 2021)
- Department of Statistics and Data Science, Cornell University (Feb 2021)
- CMSTATISTICS 2020 (Dec 2020)
- BAYSM:O (Nov 2020)
- Bernoulli-IMS One World Symposium 2020 (Aug 2020)
- XV CLAPEM 2019 (Mérida, Dec 2019).
- SIS 2019 (Milano, Jun 2019).
- Second Italian Meeting on Probability and Mathematical Statistics (Vietri sul Mare, Jun 2019).
Teaching
- Advanced Statistics, Luiss University (AY 2023/2024, 2024/2025)
- Machine Learning, Luiss University (AY 2023/2024, 2024/2025)
- Dependent nonparametric priors via CRMs, University of Torino (Short course, 2022)
- Bayesian Forecasting and Intervention, University of Warwick (AY 2021/2022, 2022/2023)
- Numerical and Statistical Methods for Finance, University of Torino (TA, AY 2020/2021)
- Data Analysis, Bocconi University (TA, AY 2020/2021, 2019/2020, 2018/2019, 2017/2018)
- Mathematics and Statistics, Bocconi University (TA, AY 2018/2019, 2017/2018)
Contact
mcatalano@luiss.it
Luiss University, Viale Romania 32, 00197, Roma, Italy.