Marta Catalano

I am a postdoctoral researcher at the University of Torino working with Pierpaolo De Blasi. Previously, I obtained a PhD in Statistics at Bocconi University, under the supervision of Antonio Lijoi and Igor Prünster. I am also member of the “de Castro” Statistics Initiative at Collegio Carlo Alberto, of the BayesLab at the Bocconi Institute for Data Science and Analytics (BIDSA) and of the MIDAS Complex Data Modeling Research Network.
A full version of my CV may be found here.

Research Interests

  • Bayesian nonparametrics
  • Statistical optimal transport and Wasserstein distances
  • Stochastic and point processes with a particular focus on completely random measures.

Presentations & Posters

  • Invited talk at JSM Joint Statistical Meeting (Seattle, WA, Aug 2021).
  • Invited talk at ISBA 2020 15th World Meeting of the International Society of Bayesian Analysis (Virtual, Jun 2021).
  • Invited talk at ECOSTA 2021 4th International Conference on Econometrics and Statistics (Virtual, Jun 2021).
  • Seminar at the Department of Economics at the University of Bergamo (Bergamo, Virtual, May 2021).
  • Invited talk at the One World YoungStatS webinar (Virtual, Apr 2021)
  • Seminar at the Department of Statistics and Data Science at Cornell University (Ithaca NY, Virtual, Feb 2021).
  • Invited talk at CMSTATISTICS 2020 13th International Conference of the ERCIM WG on Computational and Methodological Statistics (Virtual, Dec 2020).
  • Poster session at WiML 15th Workshop for Women in Machine Learning co-located with NeurIPS (Virtual, Dec 2020)
  • Invited talk at BAYSM:O Bayesian Young Statisticians Meeting: Online (Virtual, Nov 2020)
  • Contributed talk at Bernoulli-IMS One World Symposium 2020 (Virtual, Aug 2020).
  • Invited talk at XV CLAPEM 2019 Latin American Congress of Probability and Mathematical Statistics (Mérida, Mexico, Dec 2019).
  • Poster session at O’Bayes 2019 Objective Bayes Methodology Conference (Warwick, UK, Jun 2019).
  • Poster session at BNP12 12th International Conference on Bayesian Nonparametrics (Oxford, UK, Jun 2019)
  • Invited talk at SIS 2019 Smart Statistics for Smart Applications (Milano, Italy, Jun 2019).
  • Invited talk at Second Italian Meeting on Probability and Mathematical Statistics (Vietri sul Mare, Italy, Jun 2019).

Teaching Assistant

  • M.Sc. ECO0152 Numerical and Statistical Methods for Finance at University of Torino (AY 2020/2021).
  • M.Sc. 20179 Data Analysis at Bocconi University (AY 2020/2021, 2019/2020, 2018/2019, 2017/2018).
  • B.Sc. 30401 Mathematics and Statistics at Bocconi University (AY 2018/2019, 2017/2018).


  1. A Wasserstein index of dependence for random measures..
    M. Catalano, H. Lavenant, A. Lijoi and I. Prünster (working paper).
  2. Posterior asymptotics for boosted hierarchical Dirichlet process mixtures.
    M. Catalano, P. De Blasi, A. Lijoi and I. Prünster (under revision).


  1. Measuring dependence in the Wasserstein distance for Bayesian nonparametric models.
    M. Catalano, A. Lijoi and I. Prünster (2021).
    The Annals of Statistics, forthcoming (pdf).
    Winner of the ASA-SBSS 2021 Student Paper Competition
  2. Transport distances on random vectors of measures: recent advances in Bayesian nonparametrics.
    M. Catalano, A. Lijoi and I. Prünster (2020).
    Special Volume of the XV CLAPEM, Birkhäuser, forthcoming.
  3. 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).
  4. Bayesian model comparison based on Wasserstein distances.
    M. Catalano, A. Lijoi and I. Prünster (2019).
    Book of Short Papers of the Italian Statistical Society, Pearson (pdf).


  • IMS New Researcher Travel Award (2021)
  • ASA-SBSS Student Paper Competition (2021)