Monia Ranalli | Ricerc@Sapienza

Pubblicazioni

Titolo	Pubblicato in	Anno
AN INDSCAL BASED MIXTURE MODEL TO CLUSTER MIXED-TYPE OF DATA	CLADAG 2019 - Book of short papers	2019
COMPOSITE LIKELIHOOD INFERENCE FOR SIMULTANEOUS CLUSTERING AND DIMENSIONALITY REDUCTION OF MIXED-TYPE LONGITUDINAL DATA	CLADAG 2019 - Book of short papers	2019
An overview on the URV model-based approach to cluster mixed-type data	Statistical Learning of Complex Data	2019
New perspectives on likelihood-based inference for latent and observed Gaussian mixture models		2019
Simultaneous clustering and dimensional reduction of mixed-type data	ASMOD 2018: Proceedings of the International Conference on Advances in Statistical Modelling of Ordinal Data	2018
A multilevel hidden Markov model for space-time cylindrical data	Book of Short Papers SIS 2018	2018
Segmentation of sea current fields by cylindrical hidden Markov models: a composite likelihood approach	JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS	2018
Hidden Markov random fields for the spatial segmentation of circular data	11th International Conference of the ERCIM. Book of abstracts	2018
Simultaneous clustering and dimensional reduction of mixed-type data	11th International Conference of the ERCIM. Book of abstracts	2018
A Model-Based Approach to Simultaneous Clustering and Dimensional Reduction of Ordinal Data	PSYCHOMETRIKA	2017
Mixture models for mixed-type data through a composite likelihood approach	COMPUTATIONAL STATISTICS & DATA ANALYSIS	2017
A Hidden Markov Approach To the Analysis of Cylindrical Space-time Series	TIES - GRASPA 2017 on Climate and Environment - Book of Abstracts	2017
Mixture models for simultaneous classification and reduction of three-way data	CLADAG 2017 Book of Short Papers	2017
Mixture models for ordinal data: a pairwise likelihood approach	STATISTICS AND COMPUTING	2016
A classical invariance approach to the normal mixture problem	Book of Abstracts - COMPSTAT 2016	2016
Standard and novel model selection criteria in the pairwise likelihood estimation of a mixture model for ordinal data	Studies in Classification, Data Analysis, and Knowledge Organization	2016
Clustering Methods for Ordinal Data: A Comparison Between Standard and New Approaches	Advances in Statistical Models for Data Analysis	2015
Discussion on ”Analysis of Forensic DNA Mixtures with Artefact"	JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS	2015