List of publications

Aliverti, E., Paganin, S., Rigon, T. and Russo, M. (2019+). A discussion on: “Latent nested nonparametric priors” by Camerlenghi, F., Dunson, D.B., Lijoi, A., Prünster, I. and Rodriguez, A. in Bayesian Analysis (In press).

Cabassi A., Casa A., Fontana M., Russo M., Farcomeni A. (2018) Three Testing Perspectives on Connectome Data. In: Canale A., Durante D., Paci L., Scarpa B. (eds) Studies in Neural Data Science. START UP RESEARCH 2017. Springer Proceedings in Mathematics & Statistics, vol 257. Springer, Cham.

Russo, M., Durante, D. and Scarpa B. (2018). Bayesian Inference on Group Differences in Multivariate Categorical Data,Computational Statistics & Data Analysis, 126, 136-149

Cantone, E., Ciofalo, A.,Vodicka, J., Iacono, V., Mylonakis, I., Scarpa, B.,Russo, M.,Iengo, M., de Vincentiis, M., Martini, A. and Ottaviano, G. , Pleasantness of olfactory and trigeminal stimulants in different Italian regions., European Archives of Oto-Rhino-Laryngology, 1–7, 2017

Russo, M., Detecting Group Differences in Multivariate Categorical Data , Proceedings the Italian Statistical Society, Firenze University Press, 2017

Submitted & Under review

Russo,M., Ventz, S., Wang, V., Trippa, L. Inference in response-adaptive clinical trials when the enrolled population varies over time.

Aliverti, E. and Russo,M.,Stratified stochastic variational inference for high-dimensional network factor model.

Russo,M., Singer, B. H. & Dunson, D. B.,Multivariate mixed membership modeling: Inferring domain-specific risk profiles.