A Selection of Representative Publications

For a complete list of my work, please visit my Scopus Profile or my Google Scholar profile.

High Dimensional Regression Analysis for Genomic Data

• Monti, G.S., Filzmoser, P. (2026).
  E-values for Stable and Robust Variable Selection in Microbiome Studies..
  ERCIM News for the Special Theme: E-values - Statistical Testing for the 21st Century.

• 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.
  Computational 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

• Monti, G.S., Mateu-Figueras, G., Pawlowsky-Glahn, V. and Egozcue, J.J. (2026)
  The logratio Student’s t distribution: a robust model for compositional data analysis.
  Statistical Methods & Applications.

• Monti, G.S., Mateu-Figueras, G. and Hron, K. (2022).
  Additive Logistic Normal Distribution.
  In Encyclopedia of Mathematical Geosciences, Springer.

• Mateu-Figueras, G., Monti, G.S. and Egozcue, J.J. (2021).
  Distributions on the simplex revisited.
  In P. Filzmoser et al., Advances in Compositional Data Analysis Festschrift in Honour of Vera Pawlowsky-Glahn, Springer.

• Migliorati, S., Ongaro, A. and Monti, G.S. (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.
  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.
  Ecological Indicators.

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

Environmental and Health Data Analysis

• Bonini, M., Cardarelli, E., Faccini, M., Sofiev, M., Palamarchuk, J., Pelagatti, M.M., Monti, G.S. (2026).
  Effects of climate change on pollen season features of herbaceous species in the Milan area, Northern Italy.
  Scientific Reports.

• Bonini, M., Monti, G.S., Pelagatti, M.M. et al. (2022).
  Ragweed pollen concentration predicts seasonal rhino-conjunctivitis and asthma severity in patients allergic to ragweed.
  Scientific Reports.