Shulyarenko, O., Huang, Z. and Ferrari, D. Truncated pair-wise likelihood for Max-Stable models with applications to maximum temperature data.

Zheng, C., and Ferrari, D., Model selection confidence set for high-dimensional regression
Ferrari, D., A statistical theory of information entanglement with applications to inference for complex models

Huang, Z. and Ferrari D., Fast construction of efficient composite estimating equations (arXiv)

Qiao, P., Molck, C., Ferrari, D., Nowell, C. and Hollande, F., Composite likelihood inference for spatio-temporal image data on multicolor cell  proliferation (arXiv)


(2017) Zheng, C, Yang, Y. and Ferrari, D. Model selection confidence sets by likelihood ratio testing. Statistica Sinica, Accepted. (arXiv)

(2017) Huang, Z., Ferrari, D.  and Qian, G.. Parsimonious and powerful composite likelihood testing for group difference and genotype–phenotype association. Computational Statistics & Data Analysis, 110: 37-49.
(2016) Qian, G., Wu, Y.,  Ferrari, D., Qiao, P., and Hollande, F.  Semisupervised Clustering by Iterative Partition and Regression with Neuroscience Applications. Computational intelligence and neuroscience.
(2016) Creed, S., Le C.,  Hassan, M., Pon, C, Albold, S.,  Chan, K.,  Berginsk, M.,  Huang, Z., Bear, J,  Lane, R.,  Halls, M., Ferrari, D.,Nowell, C., Sloan, E., beta2-adrenergic signaling  induces invadopodia for breast cancer cell invasion. Breast Cancer Research.
(2016) Le C. et al. Chronic Stress Remodels Lymph  Vasculature to Promote Tumor Cell Dissemination, Nature Communications, 7.
(2016) Ferrari, D. and Zheng, C., Reliable inference for complex models by discriminative composite likelihood estimation, Journal of Multivariate Analysis, 144: 68-80.
(2016) Giuzio, M., Ferrari, D. and Paterlini, S., Sparse and robust normal and t- portfolios by penalized Lq-likelihood minimization, European Journal of Operation research, 250(1), 251--261.
(2016) Ferrari, D.,  Qian, G., and Hunter, T., Parsimonious and Efficient Likelihood Composition by Gibbs Sampling, Journal of Computational and Graphical Statistics, 25:3 (2016): 935-953.
(2016) Bergamaschi, S., Ferrari, D., Guerra, F., Simonini, G., \and Velegrakis, Y.. Providing insight into data source topics. Journal on Data Semantics, 5(4), 211-228.
(2015) Ferrari, D. and Yang. Y., Confidence sets for model selection by F-testing, Statistica Sinica,   25, 1637--1658.

(2015) La Vecchia, D., Camponovo, L., and Ferrari D., Robust heart rate variability analysis  by generalized entropy minimization, Computational Statistics and Data  Analysis, 82: 137-151.
(2014) Kim-Fuchs, C.,  Le, C. P.,  Pimentel, M. A., Shackleford, D., Ferrari D.; Angst, E.,  Hollande, F., and
Sloan E., Chronic stress accelerates pancreatic cancer growth and invasion:  A critical role for beta-adrenergic signaling in the pancreatic microenvironment, Brain, Behavior, and Immunity.
(2013) Ferrari, D., Borrotti, M. and De March D., Response improvement in complex experiments by co-information composite likelihood optimization, Statistics and Computing, p. 1--13.
(2012) Ferrari, D. and La Vecchia, D. On robust estimation via pseudo-additive information, Biometrika, volume 99, issue 1, pages 238--244.
(2012) Bertoldi, C., Bellei, E., Pellacani, C., Ferrari, D., Lucchi, A., Cuoghi, A., Bergamini, S., Cortellini, P., Tomasi, A., Zeffe, D. and Monari, E., Non-bacterial protein expression in periodontal pockets by proteome analysis, Journal of
Clinical Periodontology
2012) Lalla, M., Ferrari, D. and Frederic, P.  Unit nonresponse errors in income surveys: a case study. \emph{Quality \& Quantity}, Volume 46, Issue 6, pp 1769-1794.
(2011) Lalla, M., Frederic, P. and Ferrari, D., Students’ Evaluation of Teaching Effectiveness: Satisfaction and Related Factors (Attanasio M., Capursi V. - Statistical Methods for the Evaluation of University Systems - Springer Berlin Heidelberg (DEU)), pages  113--129.
(2011) Pistoresi B., Salsano F., Ferrari, D.  Political institutions and central bank independence revisited, Applied Economic Letters, Vol 18, pp. 679--682.
(2010)  Ferrari, D. and Yang, Y. Maximum lq-likelihood estimation. The Annals of Statistics, Vol.38, n.2, 753-78.
(2009)  Ferrari, D. and Paterlini, S. The Maximum Lq-Likelihood Method: an application to extreme quantile estimation in finance. Methodology and Computing in Applied Probability, Vol.11, n.1, 3-19.
(2009)  Ferrari, D., Read, D.  and van der Leeuw, S. An agent-based model of information flows in social dynamics,  in D. Lane, D. Pumain, S. van der Leeuw and G. West (eds.) Complexity Perspectives on Innovation and Social Change, Springer.
(2009) Villani, M., Bonacini S.,  Ferrari, D., Serra, R. and Lane, D. Exaptive processes: an agent based model, in D. Lane, D. Pumain, S. van der Leeuw and G. West (eds.) Complexity Perspectives on Innovation and Social
Change, Springer. Stochastic modeling.
(2007) Villani, M., Bonacini S., Ferrari, D., Serra, R. and Lane, D. An agent-based model of exaptative processes, European Management Review. Vol. 4, 141-151.