PUBLICATIONS

“We are trying to prove ourselves wrong as quickly as possible, because only in that way can we find progress.”

2025. G. Bolt, S. Lunagómez, C. Nemeth. Modelling Populations of Interaction Networks via Distance Metrics. Journal of Machine Learning Research. 26 (1-112).
2024. A. Mantziou, S. Lunagómez, R. Mitra. Bayesian Model-based Clustering for Multiple Network Data. The Annals of Applied Statistics. 18 (1), 266-302, (March 2024) DOI: 10.1214/23-AOAS1789.
2024. K. Turnbull, S. Lunagómez, C. Nemeth and E.M. Airoldi. Latent Space Representations of Hypergraphs. Journal of the American Statistical Association. Vol. 119, NO. 548, 2634-2646. https://doi.org/10.1080/01621459.2023.2270750.
2021. S. Lunagómez, S. C. Olhede and P. J. Wolfe. Modeling Network Populations via Graph Distances. Journal of the American Statistical Association. Vol. 116, No. 536, 2023-2040.
2017. S. Lunagómez, S. Mukherjee, R.L. Wolpert, E.M. Airoldi. Geometric Representations of Random Hypergraphs. Journal of the American Statistical Association. Vol. 112, No. 517, 363-383.
2009. M.J. Bayarri, J.O. Berger, E.S. Calder, K. Dalbey, S. Lunagómez, A.K. Patra, E.B. Pitman, E.T. Spiller, R.L. Wolpert. Using Statistical and Computer Models to Quantify Volcanic Hazards. Technometrics, Vol. 51 - Issue 4.

A. Mantziou, S. Keith, D. Jacoby, S. Lunagómez, R. Mitra. Bayesian Modelling and Computation Utilising Directed Cycles in Multiple Network Data.
F. Barile, S. Lunagómez, B. Nipoti. Bayesian Nonparametric Modeling of Heterogeneous Populations of Networks. arXiv:2410.10354
L. E. Nieto-Barajas, S. Lunagómez. Graphical Models with Marginals in the Exponential Family. arXiv:2504.21122
H. Maruri-Aguilar, S. Lunagómez. Lasso for Hierarchical Polynomial Models.