Publications

  • Cadonna, A., Kottas, A., Prado, R. (2016). Bayesian spectral for multiple spectral densities, University of California, Santa Cruz. Preprint.
  • Cadonna, A., Kottas, A., Prado, R. (2015). Bayesian mixture modeling for spectral density estimation. Submitted.
  • Cadonna, A., Kottas, A., Prado, R. (2014). Nonparametric Bayesian mixture modeling for spectral density estimation. Technical Report.
  • Cadonna A., Guglielmi A., Quintana F. A., Bayesian nonparametric AR(1)-models for multiple binary sequences. Sco 2011, 7th Conference on Statistical Computation and Complex Systems, Padua, Italy.
  • Cadonna A., Bayesian nonparametric AR(1) models for multiple binary sequences. Master’s Thesis, Politecnico di Milano.

 

Presentations

  • Bayesian mixture modeling and inference for spectral density estimation. Politecnico di Milano, Italy, January 2016.
  • Bayesian mixture modeling for spectral density estimation. Data Science afternoon 2015, University of California, Santa Cruz, March 2015.
  • Bayesian nonparametric modeling and inference for spectral densities. 2014 ISBA World Meeting. Cancun, Mexico, July 2014.
  • Bayesian flexible spectral modeling and computation for the analysis of complex brain signals. Graduate Research Symposium. University of California, Santa Cruz.
  • Bayesian flexible spectral modeling and computation for the analysis of complex brain signals. Women In Machine Learning Workshop, Lake Tahoe, December 2013.