Marco Battiston

Marco Battiston

Bayesian nonparametrics

I am a former postdoc at the Department of Statistics, working with Yee Whye Teh. My subject of research is Bayesian Nonparametrics. I received a Bachelor degree in Economics and Business from the University of Padua, a master in Economics and a PhD in Statistics at Bocconi University. Currently I am Lecturer in Statistics at Lancaster University.

Publications

2018

  • M. Battiston , S. Favaro , D. M. Roy , Y. W. Teh , A Characterization of Product-Form Exchangeable Feature Probability Functions, Annals of Applied Probability, vol. 28, Jun. 2018.
    Project: bigbayes
  • F. Ayed , M. Battiston , F. Camerlenghi , S. Favaro , Consistent estimation of the missing mass for feature models, 2018.
    Project: bigbayes
  • M. Battiston , S. Favaro , Y. W. Teh , Bayesian nonparametric approaches to sample-size estimation for finding unseen species, 2018.
    Project: bigbayes
  • F. Ayed , M. Battiston , F. Camerlenghi , S. Favaro , On the consistent estimation of the missing mass, 2018.
    Project: bigbayes
  • F. Ayed , M. Battiston , F. Camerlenghi , S. Favaro , On the Good-Turing estimator for feature allocation models, 2018.
    Project: bigbayes

2017

  • M. Battiston , S. Favaro , Discussion of F. Caron and E. B. Fox, "Sparse graphs using exchangeable random measures.", Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol. 79, no. 5, 2017.
    Project: bigbayes
  • S. Bacallado , M. Battiston , S. Favaro , L. Trippa , Sufficientness postulates for Gibbs-type priors and hierarchial generalizations, Statistical Sciences, vol. 32, 487–500, 2017.
    Project: bigbayes

2016

  • M. Battiston , S. Favaro , Y. W. Teh , Multi-armed bandit for species discovery: A Bayesian nonparametric approach, Journal of the American Statistical Association, 2016.
    Project: bigbayes