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A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Adjengue, L., & Moore, M. (1999). Deux méthodes d'estimation pour les paramètres de processus moyenne mobile spatiaux. [Two Methods for Estimation of Parameters of Spatial Moving Average Processes]. Canadian Journal of Statistics, 27(4), 795-818. External link
Archambault, S., & Moore, M. (1995). Statistical inference for Voronoi images. Canadian Journal of Statistics, 23(1), 11-20. External link
Moussa, S., & Moore, M. (1999). Monte Carlo Estimates of the Distributions of Sets Generated by the Random Polygons of the Poisson Voronoi Tessellation. Journal of Statistical Computation and Simulation, 64(3), 251-273. External link
Moore, M., & Masse, J.-Y. (1989). Un logiciel pour l'analyse statistique des processus ponctuels. (Technical Report n° EPM-RT-89-19). Restricted access
Moore, M., Lemay, Y., & Archambault, S. (1988). Algorithms to reconstruct a convex set from sample points. (Technical Report n° EPM-RT-88-21). Restricted access
Moore, M., & Lemay, Y. (1988). Sur le principe de parcimonie dans l'ajustement des modèles ARMA. (Technical Report n° EPM-RT-88-04). Restricted access
Moore, M. (1986). Inférence statistique dans les processus stochastiques : aperçu historique. (Technical Report n° EPM-RT-86-08). Restricted access
Moore, M. (1978). Choix séquentiel des points échantillonnaux pour reconstruire un schéma ordonné. (Technical Report n° EP-R-78-46). Restricted access
Moore, M. (1978). The transition probability function for the occupancy model. (Technical Report n° EP-R-78-40). Restricted access
Moore, M., & Lam, H. Q. (1977). Estimateurs bayesiens pour les paramètres dans une suite d'essais de Bernoulli avec indicateur de persistance. (Technical Report n° EP-R-77-29). Restricted access
Moore, M. (1976). Comparison of estimators for the parameters in Bernoulli trials with a persistence indicator. (Technical Report n° EP-R-76-08). Restricted access
Moore, M. (1975). Remarks on the asymptotic behavior of posterior laws with applications. (Technical Report n° EP-R-75-37). Restricted access
Moore, M. (1974). Comparison of three estimators for the parameters of a Markov chain with a persistence indicator. (Technical Report n° EP-R-74-14). Restricted access
Moore, M. (1974). Consistency of bayesian reconstruction rules for m, n-patterns. (Technical Report n° EP-R-74-17). Restricted access
Moore, M. (1973). Anisotropically random mosaics. (Technical Report n° EP-R-73-22). Restricted access
Moore, M. (1973). Bayesian reconstructions of m, n-patterns. (Technical Report n° EP-R-73-06). Restricted access