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Gollini, Isabella and Rougier, J. (2016) Rapidly bounding the exceedance probabilities of high aggregate losses. Journal of Operational Risk 11 (3), pp. 97-116. ISSN 1744-6740.

Gollini, Isabella and Murphy, T.B. (2016) Joint modelling of multiple network wiews. Journal of Computational and Graphical Statistics 25 (1), pp. 246-265. ISSN 1061-8600.

Gollini, Isabella and Lu, B. and Charlton, M. and Brunsdon, C. and Harris, P. (2015) GWmodel: an R package for exploring spatial heterogeneity using geographically weighted models. Journal of Statistical Software 63 (17), ISSN 1548-7660.

Harris, P. and Brunsdon, C. and Gollini, Isabella and Nakaya, T. and Charlton, M. (2015) Using bootstrap methods to investigate coefficient non-stationarity in regression models: an empirical case study. Procedia Environmental Sciences 27 , pp. 112-115. ISSN 1878-0296.

Gollini, Isabella and Murphy, T.B. (2014) Mixture of latent trait analyzers for model-based clustering of categorical data. Statistics and Computing 24 (4), pp. 569-588. ISSN 0960-3174.

Salter-Townshend, M. and White, A. and Gollini, Isabella and Murphy, T.B. (2012) Review of statistical network analysis: models, algorithms, and software. Statistical Analysis and Data Mining 5 (4), pp. 243-264. ISSN 1932-1872.

Book Section

Caimo, A. and Gollini, Isabella (2016) Bayesian computational algorithms for social network analysis. In: Dehmer, M. and Shi, Y. and Emmert-Streib, F. (eds.) Computational Network Analysis with R: Applications in Biology, Medicine, and Chemistry. Wiley-VCH Verlag GmbH & Co. KGaA, pp. 63-82. ISBN 9783527339587.

Gollini, Isabella (2014) Theory of statistics, basics, and fundamentals. In: Alhajj, R. and Rokne, J. (eds.) Encyclopedia of Social Network Analysis and Mining. New York, U.S.: Springer, pp. 2145-2153. ISBN 9781461461692.