Monia Ranalli | Ricerc@Sapienza

Pubblicazioni

Titolo	Pubblicato in	Anno
Clustering Ordinal Data Via Parsimonious Models	Combining, Modelling and Analyzing Imprecision, Randomness and Dependence.	2024
Mixture models for simultaneous classification and reduction of three-way data	COMPUTATIONAL STATISTICS	2024
Biclustering listeners and music genres using a composite likelihood-based approach	Book of abstracts of the 18th International Joint Conference CFE-CMStatistics	2024
Biclustering of ordinal data through a composite likelihood approach.	Book of abstracts of the 26th International Conference on Computational Statistics	2024
Composite likelihood methods for parsimonious model-based clustering of mixed-type data	ADVANCES IN DATA ANALYSIS AND CLASSIFICATION	2023
Model-based simultaneous classification and reduction for three - way ordinal data	ClaDAG2023: BOOK OF ABSTRACTS AND SHORT PAPERS	2023
Circulating irisin levels in functional hypothalamic amenorrhea: a new bone damage index? A pilot study	ENDOCRINE	2022
Semi-constrained model-based clustering of mixed-type data using a composite likelihood approach	CLADAG 2021 BOOK OF ABSTRACTS AND SHORT PAPERS : 13th Scientific Meeting of the Classification and Data Analysis Group Firenze, September 9-11, 2021	2021
A Comparison Between Methods to Cluster Mixed-Type Data: Gaussian Mixtures Versus Gower Distance	Studies in Classification, Data Analysis, and Knowledge Organization	2021
Mixture of factor analyzers for mixed-type data via a composite likelihood approach	Models and Learning for Clustering and Classification	2021
The role of IONM in reducing the occurrence of shoulder syndrome following lateral neck dissection for thyroid cancer	JOURNAL OF CLINICAL MEDICINE	2021
Health and development: evidence from non-OECD countries	APPLIED ECONOMICS	2021
A model with space-varying regression coefficients for clustering multivariate spatial count data	BIOMETRICAL JOURNAL	2020
Model-based approach to biclustering ordinal data		2020
Biclustering ordinal data through a model-based approach	13th International Conference of the ERCIM WG on Computational and Methodological Statistics	2020
Dimension reduction for longitudinal multivariate data by optimizing class separation of projected latent Markov models	TEST	2020
A CLASSICAL INVARIANCE APPROACH TO THE NORMAL MIXTURE PROBLEM	STATISTICA SINICA	2019
A circular nonhomogeneous hidden Markov field for the spatial segmentation of wildfire occurrences	ENVIRONMETRICS	2019
Model-based clustering for noisy longitudinal circular data, with application to animal movement	ENVIRONMETRICS	2019
Autoregressive random effects models for circular longitudinal data using the embedding approach	Proceedings of the GRASPA 2019 Conference Pescara, 15-16 July 2019	2019