Publications
Selected publications
2020
 Angelini, M. C., Lucibello, C., Parisi, G., RicciTersenghi, F., and Rizzo, T. (2020). Loop expansion around the Bethe solution for the random magnetic field Ising ferromagnets at zero temperature. Proceedings of the National Academy of Sciences, 117, 22682274.

AntonianoVillalobos, I., Borgonovo, E., and Lu, X. (2020). Nonparametric estimation of probabilistic sensitivity measures. Statistics and Computing, 30, 447467.
 Ascolani, F., Lijoi, A. and Ruggiero, M. (2020). Predictive inference with FlemingViot driven dependent Dirichlet processes. Bayesian Analysis, in press.
 Baldassi, C., Pittorino, F., and Zecchina, R. (2020). Shaping the learning landscape in neural networks around wide flat minima. Proceedings of the National Academy of Sciences, 117, 161170.
 Baldassi, C., CerreiaVioglio, S., Maccheroni, F., Marinacci, M., and Pirazzini, M. (2020). A Behavioral characterization of the drift diffusion model and its multialternative extension for choice under time pressure. Management Science, in press.
 Battigalli, P., Leonetti, P., and Maccheroni, F. (2020). Behavioral equivalence of extensive game structures. Games and Economic Behavior, 533547
 Betancourt, B., Zanella, G. and Steorts, R. (2020). Random Partition Models for Microclustering Tasks. Journal of the American Statistical Association, forthcoming.
 Camerlenghi, F., Lijoi, A. and Prünster, I. (2020). Survival analysis via hierarchically dependent mixture hazards. The Annals of Statistics, in press.
 Catalano, M., Lijoi, A., and Prünster, I. (2020). Approximation of Bayesian models for timetoevent data. Electronic Journal of Statistics, 14, 33663395.
 Fortini, S., and Petrone, S. (2020). Quasi‐Bayes properties of a procedure for sequential learning in mixture models. Journal of the Royal Statistical Society: Series B, 82, 10871114.

Hashorva, E., Padoan, S. A., and Rizzelli, S. (2020). Multivariate extremes over a random number of observations. Scandinavian Journal of Statistics, in press.
 Legramanti, S., Durante, D. and Dunson, D.B. (2020) Bayesian cumulative shrinkage for infinite factorizations. Biometrika, in press.
 Lijoi, A., Prünster, I., Rigon, T. (2020). The PitmanYor multinomial process for mixture modeling. Biometrika, in press.
 Lijoi, A., Prünster, I., and Rigon, T. (2020). Sampling hierarchies of discrete random structures. Statistics and Computing, 30, 15911607.

Lu, X., Rudi, A., Borgonovo, E., and Rosasco, L. (2020). Faster Kriging: Facing HighDimensional Simulators. Operations Research, 68, 233249.
 Zanella, G. (2020), Informed proposals for local MCMC in discrete spaces. Journal of the American Statistical Association, in press.
 Papaspiliopoulos, O., Roberts, G.O. and Zanella, G. (2020). Scalable inferences for crossed random effects models. Biometrika, 107, 2540.
 Zanella, G., and Roberts, G.O. (2020). Multilevel linear models, Gibbs samplers and multigrid decompositions. Bayesian Analysis (with discussion), forthcoming.
2019

Alfani, G., and Bonetti, M. (2019). A survival analysis of the last great European plagues: The case of Nonantola (Northern Italy) in 1630. Population Studies, 73, 101118.
 Arbel, J., De Blasi, P., Prünster, I. (2019). Stochastic approximations to the PitmanYor process. Bayesian Analysis, 15, 12011219.
 Battigalli, P., Catonini, E., Lanzani, G., & Marinacci, M. (2019). Ambiguity attitudes and selfconfirming equilibrium in sequential games. Games and Economic Behavior, 115, 129.
 Battigalli, P., Francetich, A., Lanzani, G., and Marinacci, M. (2019). Learning and selfconfirming longrun biases. Journal of Economic Theory, 183, 740785.
 Battigalli, P., Dufwenberg, M., and Smith, A. (2019). Frustration, aggression, and anger in leaderfollower games. Games and Economic Behavior, 117, 1539.
 Billari, F. C., Hiekel, N., and Liefbroer, A. C. (2019). The social stratification of choice in the transition to adulthood. European Sociological Review, 35, 599615.
 Billari, F. C., Giuntella, O., and Stella, L. (2019). Does broadband Internet affect fertility?. Population Studies, 73, 297316.
 Camerlenghi, F., Lijoi, A., Orbanz, P. and Prünster, I. (2019). Distribution theory for hierarchical processes. The Annals of Statistics, 47, 6792.
 Camerlenghi, F., Dunson, D.B.., Lijoi, A., Prünster, I., Rodriguez, A. (2019). Latent nested nonparametric priors (with discussion). Bayesian Analysis, 14, 13031356.
 CerreiaVioglio, S., Maccheroni, F., and Marinacci, M. (2019). Ambiguity aversion and wealth effects. Journal of Economic Theory, in press.
 Durante, D. (2019). Conjugate Bayes for probit regression via unified skewnormal distributions. Biometrika, 106, 765–779.
 Durante, D. and Rigon, T. (2019) Conditionally conjugate meanfield variational Bayes for logistic models. Statistical Science, 34, 472–485.
 Falk, M., Padoan, S. A., and Wisheckel, F. (2019). Generalized Pareto copulas: A key to multivariate extremes. Journal of Multivariate Analysis, 174, 117.

Lee, A., Tiberi, S. and Zanella, G. (2019), Unbiased approximations of products of expectations. Biometrika, 106, 708–715.
 Rigon, T., Durante, D. and Torelli, N. (2019). Bayesian semiparametric modelling of contraceptive behavior in India via sequential logistic regressions. Journal of the Royal Statistical Society: A, 182, 225–247.

Zanella, G., and G.O. Roberts (2019), Scalable Importance Tempering and Bayesian Variable Selection. Journal of the Royal Statistical Society: Series B, 81, 489517.
2018
 Aksoy, O., and Billari, F.C. (2018). Political Islam, marriage, and fertility: evidence from a natural experiment. American Journal of Sociology, 123, 12961340.
 Antoniano‐Villalobos, I., Borgonovo, E., and Siriwardena, S. (2018). Which parameters are important? Differential importance under uncertainty. Risk Analysis, 38, 24592477.
 Baldassi, C., and Zecchina, R. (2018). Efficiency of quantum vs. classical annealing in nonconvex learning problems. Proceedings of the National Academy of Sciences, 115, 14571462.
 Billari, F. C., Hiekel, N., & Liefbroer, A. C. (2019). The social stratification of choice in the transition to adulthood. European Sociological Review, 35, 599615.
 Borgonovo, E., Cappelli, V., Maccheroni, F., and Marinacci, M. (2018). Risk analysis and decision theory: A bridge. European Journal of Operational Research, 264, 280293.
 Borgonovo, E., Cillo, A., and Smith, C. L. (2018). On the relationship between safety and decision significance. Risk Analysis, 38, 15411558.

Camerlenghi, F., Lijoi, A. and Prünster, I. (2018). Bayesian nonparametric inference beyond the Gibbstype framework. Scandinavian Journal of Statistics, 45, 10621091.
 Canale, A., Durante, D. and Dunson, D.B. (2018). Convex mixture regression for quantitative risk assessment. Biometrics, 74, 1331–1340.
 Durante, D. and Dunson, D.B. (2018). Bayesian inference and testing of group differences in brain networks. Bayesian Analysis, 13, 29–58.
 Fortini, S., Petrone, S., and Sporysheva, P. (2018). On a notion of partially conditionally identically distributed sequences. Stochastic Processes and their Applications, 128, 819846.
 Guillou, A., Padoan, S. A., and Rizzelli, S. (2018). Inference for asymptotically independent samples of extremes. Journal of Multivariate Analysis, 167, 114135.

Marinacci, M., and Severino, F. (2018). Weak timederivatives and noarbitrage pricing. Finance and Stochastics, 22, 10071036.
2017
 Arbel, J., Prünster, I. (2017) A momentmatching Ferguson & Klass algortihm. Statistics and Computing, 27, 317.
 Beranger, B., Padoan, S. A., and Sisson, S. A. (2017). Models for extremal dependence derived from skew‐symmetric families. Scandinavian Journal of Statistics, 44, 2145

Borgonovo, E., and Cillo, A. (2017). Deciding with thresholds: Importance measures and value of information. Risk Analysis, 37(10), 18281848.
 Canale, A., Lijoi, A., Nipoti, B. and Prünster, I. (2017). On the PitmanYor process with spike and slab base measure. Biometrika, 104, 681697.

Canale, A., Prünster, I. (2017) Robustifying Bayesian nonparametric mixtures for count data. Biometrics, 73, 174184

CerreiaVioglio, S., Maccheroni, F., and Marinacci, M. (2017). Stochastic dominance analysis without the independence axiom. Management Science, 63, 10971109.
 Durante, D., Dunson, D. B. and Vogelstein, J. T. (2017). Nonparametric Bayes modeling of populations of networks. Journal of the American Statistical Association, 112, 1516–1530 (with discussion).
 Durante, D., Mukherjee, N. and Steorts, R. C. (2017) Bayesian learning of dynamic multilayer networks. Journal of Machine Learning Research, 18, 1–29.
 Durante, D., Paganin, S., Scarpa, B. and Dunson, D. B. (2017). Bayesian modelling of networks in complex business intelligence problems. Journal of the Royal Statistical Society: C, 66, 555–580.

Fortini, S., and Petrone, S. (2017). Predictive characterization of mixtures of Markov chains. Bernoulli, 23, 15381565.
 Zanella, G., Kendall, W.S. and Bedard, M. (2017) A Dirichlet Form approach to MCMC optimal scaling. Stochastic Processes and their Applications, 127, 4053–4082.