Publications

• Caimo, A., and Gollini, I., (2023), ‘Recent Advances in Exponential Random Graph Modelling’, Mathematical Proceedings of the Royal Irish Academy, 123A(1), 1-12.

• Jain, M., Sengar V.S., Gollini, I., Bertolotto, M., McArdle, G., and Dev, S., (2022) ‘LAMSkyCam: A Low-cost and Miniature Ground-based Sky Camera’, HardwareX, 12, e00346 (arXiv:2209.06051).

• Jain, M., Gollini, I., Bertolotto, M., McArdle, G., and Dev, S., (2021), ‘An Extremely-Low Cost Ground-Based Whole Sky Imager’, IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, 8209-8212 (arXiv:2106.03073).

• Gollini, I., Caimo, A., and Campana, P. (2020), ‘Modelling interactions among offenders: A latent space approach for interdependent ego-networks’, Social Networks, 63, 134-149.

• Caimo A. and Gollini, I. (2020), ‘A multilayer exponential random graph modelling approach for weighted networks’, Computational Statistics and Data Analysis, 142 (arXiv:1811.07025).

• Gollini, I. (2020), ‘A mixture model approach for clustering bipartite networks’, Challenges in Social Network Research Volume in the Lecture Notes in Social Networks (LNSN - Series of Springer) (arXiv:1905.02659).

• Caimo A. and Gollini, I. (2019), ‘Modelling weighted signed networks’, Book of Short Papers SIS 2019, Proceedings of Smart Statistics for Smart Applications 2019, 11(3), 111-118.

• Gollini, I., and Rougier, J. (2016), ‘Rapidly bounding the exceedance probabilities of high aggregate losses’, Journal of Operational Risk, 11(3), 97-116 (arXiv:1507.01853).

• Gollini, I., and Murphy, T. B. (2016), ‘Joint Modelling of Multiple Network Views’, Journal of Computational and Graphical Statistics, 25(1), 246-265 (arXiv:1301.3759).

• Caimo, A., and Gollini, I., (2016), ‘Bayesian Computational Algorithms for Social Network Analysis’, In: Dehmer, M., Shi, Y., Emmert-Streib F. (eds). Computational Network Analysis with R: Applications in Biology, Medicine, and Chemistry, 63-82, New York: Wiley. (arXiv:1504.03152).

• Gollini, I., Lu, B., Charlton, M., Brunsdon, C., and Harris, P. (2015), ‘GWmodel: an R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models’, Journal of Statistical Software, 63(17), 1-50 (arXiv:1306.0413).

• Gollini, I., and Murphy, T. B. (2014), ‘Mixture of Latent Trait Analyzers for Model-Based Clustering of Categorical Data’, Statistics and Computing, 24(4), 569-588 (arXiv:1301.2167).

• Gollini, I. (2014), ‘Theory of Statistics, Basics and Fundamentals’, In: Alhajj, R., Rokne, J. (eds). Encyclopedia of Social Network Analysis and Mining, 2145-2153, New York: Springer.

• Salter-Townshend, M., White, A., Gollini, I., Murphy, T. B. (2012), ‘Review of Statistical Network Analysis: Models, Algorithms and Software’, Statistical Analysis and Data Mining, 5(4), 243-264.