Publications

  • D’Angelo L. and Canale A. (2023) Efficient posterior sampling for Bayesian Poisson regression. Journal of Computational and Graphical Statistics, 32(3), 917–926.
    Article - Citation

  • D’Angelo L., Canale A., Yu Z. and Guindani M. (2023) Bayesian nonparametric analysis for the detection of spikes in noisy calcium imaging data. Biometrics, 79(2), 1370–1382.
    Article - Citation

  • D’Angelo L. (2023) A comparison of computational approaches for posterior inference in Bayesian Poisson regression, in Book of Short Papers SIS 2023.
    Article - Citation

  • D’Angelo L. and Denti, F. (2023) Bayesian analysis of Amazon’s best-selling books via finite nested mixture models, in Book of Short Papers SIS 2023.
    Article - Citation

  • D’Angelo L. (2022) Bayesian modeling of calcium imaging data (PhD Thesis).
    Supervisor: Prof. Antonio Canale; Co-supervisor: Prof. Michele Guindani.
    Research Padua Archive - Full text - Citation

  • D’Angelo L. (2022) Bayesian nonparametric clustering of spatially-referenced spike train data, in Book of Short Papers SIS 2022 (Editors: Balzanella A., Bini M., Cavicchia C., Verde R.), ISBN: 9788891932310, 514–519.
    Article - Citation

  • Denti F., D’Angelo L. and Guindani M. (2022) Bayesian approaches for capturing the heterogeneity of neuroimaging experiments, in Book of Short Papers SIS 2022 (Editors: Balzanella A., Bini M., Cavicchia C., Verde R.), ISBN: 9788891932310, 18–29.
    Article - Citation

  • D’Angelo L. and Canale A. (2021) Contributed Discussion on: “Centered Partition Processes: Informative Priors for Clustering”, in Bayesian Analysis, 16(1), 356–358.
    Article - Citation

  • D’Angelo L., Canale A., Yu Z. and Guindani M. (2021) Detection of neural activity in calcium imaging data via Bayesian mixture models, in Book of Short Papers SIS 2021 (Editors: Perna C., Salvati N., Schirripa Spagnolo F.), ISBN: 9788891927361, 745–750.
    Article - Citation

  • D’Angelo L. (2019) Model based clustering in group life insurance via Bayesian nonparametric mixtures, in Book of Short Papers SIS 2019 (Editors: Arbia G., Peluso S., Pini A., Rivellini G.), ISBN: 9788891915108


Software

  • D’Angelo L. and Denti F. (2023) “SANple: Fitting Shared Atoms Nested Models via Markov Chains Monte Carlo”, R package.
    CRAN - Github

  • Denti F. and D’Angelo L. (2023) “SANvi: Fitting Shared Atoms Nested Models via Variational Bayes”, R package.
    CRAN - Github

  • D’Angelo L. (2021) “bpr: Fitting Bayesian Poisson Regression”, R package.
    CRAN - Github