A Selection of Representative Publications

For a complete list, please visit my Scopus Profile.

High Dimensional Regression Analysis for Genomic Data

• Monti, G.S., Pujolassos, M. T., Calle Rosingana, M. and Filzmoser, P. (2025)
  Robust multivariate regression controlling false discoveries for microbiome data.
  Bioinformatics.

• Monti, G.S. and Filzmoser, P. (2022)
  A robust knockoff filter for sparse regression analysis of microbiome compositional data.
  Computationl Statistics.

• Monti, G.S. and Filzmoser, P. (2021)
  Sparse least trimmed squares regression with compositional covariates for high dimensional data.
  Bioinformatics.

• Monti, G.S. and Filzmoser, P. (2021)
  Robust logistic zero-sum regression for microbiome compositional data.
  Advances in Data Analysis and Classification.

Compositional Data

• Mateu-Figueras, G., Monti, G.S. and Egozcue, J.J. (2021).
  Distributions on the simplex revisited.
  In P. Filzmoser, K. Hron, J.A. Martin-Fernandez, J. Palarea-Albaladejo, Advances in Compositional Data Analysis Festschrift in Honour of Vera Pawlowsky-Glahn, Springer.

• Monti, G., Mateu-Figueras, G., Hron, K. (2022).
  Additive Logistic Normal Distribution.
  In B.S. Daya Sagar, Q. Cheng, J. McKinley, F. Agterberg, Encyclopedia of Mathematical Geosciences. Springer.

• Migliorati, S., Ongaro, A., Monti, G. (2017).
  A structured Dirichlet mixture model for compositional data: inferential and applicative issues.
  Statistics and Computing.

Ecological Risk Assessment

• Federico, L., Monti, G.S., Loureiro, S. and Villa, S. (2024).
  Disaggregation behavior in the terrestrial isopod Porcellionides pruinosus as a new ecotoxicological endpoint for assessing infochemical disrupting activity.
  Ecological Indicators

• Rizzi, C., Villa, S., Chimera, C., Finizio, A. and Monti, G.S. (2021).
  Spatial and temporal trends in the ecological risk posed by polycyclic aromatic hydrocarbons in Mediterranean Sea sediments using large-scale monitoring data.
  Ecological Indicators

• Monti, G.S., Filzmoser, P. and Deutsch, R. (2018)
  A Robust Approach to Risk Assessment Based on Species Sensitivity Distributions.
  Risk Analysis.