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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.

 

 

 

Selected Publications
Submitted / In Progress

- Richard Feynman -

On arXiv
  • K. Turnbull, S. Lunagómez, C. Nemeth and E.M. Airoldi. Latent Space Representations of Hypergraphs. arXiv:1909.00472.

  • S. Lunagómez, Sofia C. Olhede and Patrick J. Wolfe. Modeling Network Populations via Graph Distances.
    arXiv:1904.07367.

  • S. Lunagómez, M. Papamichalis, Patrick J. Wolfe and E. M. Airoldi. Evaluating and Optimizing Network Sampling Designs: Decision Theory and Information Theory Perspectives. arXiv:1811.07829v4

  • S. Lunagómez and E. M. Airoldi. Valid Inference from Non-Ignorable Network Sampling Designs. arXiv:1401.4718v2.

 

 

 

  • 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.

  • L. E. Nieto-Barajas, S. Lunagómez. Graphical Models with Marginals in the Exponential Family.

  • H. Maruri-Aguilar, S. Lunagómez. Lasso for Hierarchical Polynomial Models.

 

 

 

The Science & 

Mathematics University

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