Frévent, C., Ahmed, M.S., Soula, J., Smida, Z., Cucala, L., Dabo-Niang, S. & Genin, M. (2022). The R package HDSpatialScan for the detection of clusters of multivariate and functional data using spatial scan statistics. The R Journal, 14/3, 95-120.

Smida, Z., Cucala, L., Gannoun, A. & Durif, G. (2022). A median test for functional data. Journal of Nonparametric Statistics, 34, 520-553.

Ahmed, M.S., Cucala, L. & Genin, M. (2021). Spatial autoregressive models for scan statistic. Journal of Spatial Econometrics, 2, 11.

Smida, Z., Cucala, L., Gannoun, A. & Durif, G. (2021). A Wilcoxon-Mann-Whitney spatial scan statistic for functional data. Computational Statistics and Data Analysis, 167, 107378.

Bonneu, F. & Cucala, L. (2021). Global scan methods for comparing two spatial point processes. In : Daouia A., Ruiz-Gazen A. (eds) Advances in Contemporary Statistics and Econometrics. Springer, Cham.

Bry, X. & Cucala, L. (2021). A von Mises–Fisher mixture model for clustering numerical and categorical variables. Advances in Data Analysis and Classification, 16, 429-455.

Cucala, L., Genin, M., Occelli, F. & Soula, J. (2019). A Multivariate nonparametric scan statistic for spatial data. Spatial Statistics, 29, 1-14.

Cucala L. (2017). Variable Window Scan Statistics: Alternatives to Generalized Likelihood Ratio Tests. In: Glaz J., Koutras M. (eds) Handbook of Scan Statistics. Springer, New York, NY.

Cucala, L., Genin, M., Lanier, C. & Occelli, F. (2017). A Multivariate Gaussian scan statistic for spatial data. Spatial Statistics, 21, 66-74.

Cucala, L. & Dematteï, C. (2016). Spatial cluster detection for socio-economic data. CSBIGS, 6, n°2, 1-9.

Cucala, L. (2016). Scan statistics for detecting high-variance clusters. Journal of Probability and Statistics, Article ID 7591680.

Cucala, L. (2016). A Mann-Whitney scan statistic for continuous data. Communications in Statistics – Theory and Methods, 45, n°2, 321-329.

Stoehr, J., Pudlo, P. & Cucala, L. (2015). Adaptive ABC model choice and geometric summary statistics for hidden Gibbs random fields. Statistics and Computing, 25, 129-141.

Cucala, L. (2014). A distribution-free spatial scan statistic for marked point processes. Spatial Statistics, 10, 117-125.

Cucala, L. & Marin, J.M. (2013). Bayesian inference on a mixture model with spatial dependence. Journal of Computational and Graphical Statistics, 22, 584-597.

Cucala, L., Dematteï, C., Lopes, P. & Ribeiro, A. (2013). Spatial scan statistics for case event data based on connected components. Computational Statistics, 28, 357-369.

Dematteï, C. & Cucala, L. (2011). Multiple spatio-temporal cluster detection for case event data : an ordering-based approach. Communications in Statistics – Theory and Methods, 40, n°2, 358-372.

Cucala, L. & Thomas-Agnan, C. (2010). Données spatiales. In Approches non-paramétriques en régression (Droesbeke and Saporta, eds.), Editions Technip, Paris.

Cucala, L. (2009). A flexible spatial scan test for case event data. Computational Statistics and Data Analysis, 53, n° 8, 2843-2850.

Cucala, L., Marin, J.M., Robert, C.P. & Titterington, D.M. (2009). A Bayesian reassessment of nearest-neighbour classification. Journal of the American Statistical Association, 104, n°485, 263-273.

Cucala, L. (2008). Intensity estimation for spatial point processes observed with noise. Scandinavian Journal of Statistics, 35, n° 2, 322-334.

Cucala, L. (2008). A hypothesis-free multiple scan statistic with variable window. Biometrical Journal, 50, n° 2, 299-310.

Cucala, L. & Thomas-Agnan, C. (2006). Spacings-based tests for spatial randomness and coordinate-invariant procedures. Annales de l’I.S.U.P., 50, n° 1-2, 31-45.

Cucala, L.(2005). Le Cam spacings theorem in dimension two. Annales de l’I.S.U.P., 49, n° 2-3, 41-55.

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