F. Mason, E. Cantoni and P. Ghisletta (2025). Linear mixed models and latent growth curve models for group comparison studies contaminated by outliers. Psychological Methods. 30 (1), 155–173, https://doi.org/10.1037/met0000643
E. Cantoni, N. Jacot and P. Ghisletta (2024) Review and comparison of measures of explained variation and model selection in linear mixed-effects models, 29 , 150-168 Econometrics and Statistics. https://doi.org/10.1016/j.ecosta.2021.05.005 (GitHub site).
Y. Yan , E. Cantoni, C. Field, M. Treble, H. P. Benoît, R. M. Rideout, J. Millls-Flemming (2023) Spatiotemporal Modelling of Greenland Halibut Maturation Across the Northwest Atlantic, ICES Journal of Marine Science, 80 (6), 1787–1801, https://doi.org/10.1093/icesjms/fsad112
Y. Yan, E. Cantoni, C. Field, M. Treble and J. Mills Flemming (2023) Spatiotemporal modeling of mature-at-length data using a sliding window approach, Environmetrics, 34 (2), e2759 http://doi.org/10.1002/env.2759
J. Miron, B. Poilane and E. Cantoni (2022) Robust polytomous logistic regression, Computational Statistics and Data Analysis, Early View: https://doi.org/10.1016/j.csda.2022.107564
S. Ranjbar, E. Cantoni, V. Chavez-Demoulin, G. Marra, R. Radice and K. Jaton (2022) Modelling the extremes of seasonal viruses and hospital congestion: The example of flu in Swiss hospital, Journal of the Royal Statistical Society - Series C (Applied Statistics), 37 (4), 884-905. doi.org/10.1111/rssc.12559
Y. Yan, E. Cantoni, C. Field, M. Treble and J. Millls-Flemming (2022) Spatiotemporal Modeling of Bycatch Data: Methods and a Practical Guide through a Case Study in a Canadian Arctic Fishery, Canadian Journal of Fisheries and Aquatic Sciences. 79 (1), 148-158 https://doi.org/10.1139/cjfas-2020-0267 .
F. Mason, E. Cantoni and P. Ghisletta (2021) Parametric and Semi-Parametric Bootstrap-Based Confidence Intervals for Robust Linear Mixed Models, Methodology, 17 (4), 271-295. https://doi.org/10.5964/meth.6607
W. Aeberhard, E. Cantoni, G. Marra and R. Radice (2021) Robust Fitting for Generalized Additive Models for Location, Scale and Shape, Statistics and Computing, 31(11), doi.org/10.1007/s11222-020-09979-x
W. Aeberhard, E. Cantoni, C. Field, H.-R. Kuensch, J. Mills Flemming and X. Xu (2021) Robust Estimation for Discrete-Time State Space Models, Scandinavian Journal of Statistics, 48 (4), 1127-1147 doi.org/10.1111/sjos.12482
E. Cantoni and X. de Luna (2020) Semiparametric inference with missing data: Robustness to outliers and model misspecification, Econometrics and Statistics, 16, 108-120 https://doi.org/10.1016/j.ecosta.2020.01.003
D. Flores Agreda and E. Cantoni (2019) Bootstrap estimation of uncertainty in prediction for generalized linear mixed models, Computational Statistics and Data Analysis, 130, 1-17. DOI:10.1016/j.csda.2018.08.006
E. Cantoni and M. Auda (2018). Stochastic variable selection strategies for zero-inflated models, Statistical Modelling, 18 (1), 3-23. DOI: 10.1177/1471082X17711068 (Supplementary material)
E. Cantoni, J. Mills Flemming and Alan H. Welsh (2017) A random-effects hurdle model for predicting bycatch of endangered marine species, Annals of Applied Statistics, 11 (4), 2178-2199. DOI: 10.1214/17-AOAS1074
W. H. Aeberhard, E. Cantoni and S. Heritier. (2017). Saddlepoint tests for accurate and robust inference on overdispersed count data, Computational Statistics & Data Analysis, 107, 162-175. DOI: 10.1016/j.csda.2016.10.009
X. Xu, E. Cantoni, J. Mills Flemming and C. Field (2015) Robust state space models for estimating fish stock maturities, The Canadian Journal of Statistics, 43, 133-150. DOI: 10.1002/cjs.11243.
W. H. Aeberhard, E. Cantoni and S. Heritier (2014) Robust Inference in the Negative Binomial Regression Model with an Application to Falls Data, Biometrics, 70, 920-931. DOI: 10.1111/biom.12212 (R code: here)
I. Irincheeva, E. Cantoni, M. G. Genton (2012) Generalized Linear Latent Variable Models with Flexible Distribution of Latent Variables, Scandinavian Journal of Statistics 39(4), 663--680. DOI: 10.1111/j.1467-9469.2011.00777.x
I. Irincheeva, E. Cantoni, M. G. Genton (2012) A non-Gaussian spatial generalized linear latent variable model, Journal of Agricultural, Biological, and Environmental Statistics 17(3), 332--353. DOI: 10.1007/s13253-012-0099-5
E. Cantoni, J. Mills Flemming, E. Ronchetti (2011) Variable Selection in Additive Models by Nonnegative Garrote, Statistical Modelling 11(3), 237--252. DOI:10.1177/1471082X1001100304
E. Cantoni, A. Zedini (2011) A Robust Version of the Hurdle Model, Journal of Statistical Planning and Inference 141, 1214--1223. DOI: 10.1016/j.jspi.2010.09.022
J. Mills Flemming, E. Cantoni, C. Field and I. McLaren (2010) Extracting Long-Term Patterns of Populations Changes from Sporadic Counts of Migrant Birds, Environmetrics 21(5), 482--492. DOI: 10.1002/env.998
E. Cantoni, C. Field, J. Mills Flemming and E. Ronchetti (2007) Longitudinal Variable Selection by Cross-Validation in the Case of Many Covariates, Statistics in Medicine 26(4), 919--930.DOI: 0.1002/sim.2572
E. Cantoni and X. de Luna (2006) Non-parametric adjustment for covariates when estimating a treatment effect, Journal of Nonparametric Statistics 18, 227--244. DOI: 10.1080/10485250600720779
E. Cantoni and E. Ronchetti (2006) A Robust Approach for Skewed and Heavy-tailed Outcomes in the Analysis of Healthcare Expenditures, Journal of Health Economics 25, 198--213. DOI: 10.1016/j.jhealeco.2005.04.010
E. Cantoni, J. Mills Flemming and E. Ronchetti (2005) Variable Selection for Marginal Longitudinal Generalized Linear Models, Biometrics 61, 507--514. DOI: 10.1111/j.1541-0420.2005.00331.x
E. Cantoni (2004) A Robust Approach to Longitudinal Data Analysis, The Canadian Journal of Statistics 32(2), 169--180. DOI: 10.2307/3315940
E. Cantoni (2004) Analysis of Robust Quasi-deviances for Generalized Linear Models, Journal of Statistical Software 10, Issue 4.
E. Cantoni (2004) Resistant Nonparametric Smoothing with S-PLUS, Journal of Statistical Software 10, Issue 2.
E. Cantoni (2003) Robust Inference Based on Quasi-likelihoods for Generalized Linear Models and Longitudinal Data, in Developments in Robust Statistics. International Conference on Robust Statistics 2001, P. Filzmoser, U. Gather and P. J. Rousseeuw eds, 114--124, Springer, Heidelberg.
E. Cantoni and T. Hastie (2002) Degrees of Freedom Tests for Smoothing Splines, Biometrika 89, 251--263. DOI: 10.1093/biomet/89.2.251
E. Cantoni and E. Ronchetti (2001) Robust Inference for Generalized Linear Models, Journal of the American Statistical Association 96, 1022--1030. DOI: 10.1198/016214501753209004 (ERRATA)
E. Cantoni and E. Ronchetti (2001) Resistant Selection of the Smoothing Parameter for Smoothing Splines, Statistics and Computing 11 , 141--146. DOI: 10.1023/A:1008975231866