Pubblicazioni

Expectile hidden Markov regression models for analyzing cryptocurrency returns

2024 - STATISTICS AND COMPUTING
Foroni, Beatrice; Merlo, Luca; Petrella, Lea

Finite mixtures of latent trait analyzers with concomitant variables for bipartite networks: an analysis of COVID-19 data

2024 - MULTIVARIATE BEHAVIORAL RESEARCH
Failli, Dalila; Francesca Marino, Maria; Martella, Francesca

Mixtures of Generalized Latent Trait Analyzers for biclustering multivariate data

2024 - Methodological and Applied Statistics and Demography III. SIS 2024, Short Papers, Contributed Sessions 1
Failli, Dalila; Marino, MARIA FRANCESCA; Martella, Francesca

A Biclustering Approach via Mixture of Latent Trait Analyzers for the Analysis of Digital Divide in Italy

2024 - Developments in Statistical Modelling. IWSM 2024. Contributions to Statistics.
Failli, 1dalila; Arpino, Bruno; Francesca Marino, Maria; Martella, Francesca

An Expectation-Maximization Algorithm for Including Oncological COVID-19 Deaths in Survival Analysis

2023 - CURRENT ONCOLOGY
De Felice, Francesca; Mazzoni, Luca; Moriconi, Franco

Efficient and accurate inference for mixtures of Mallows models with Spearman distance

2023 - STATISTICS AND COMPUTING
Crispino, Marta; Mollica, Cristina; Astuti, Valerio; Tardella, Luca

Biclustering multivariate discrete longitudinal data

2023 - STATISTICS AND COMPUTING
Alfo', Marco; Marino, MARIA FRANCESCA; Martella, Francesca

Composite likelihood methods for parsimonious model-based clustering of mixed-type data

2023 - ADVANCES IN DATA ANALYSIS AND CLASSIFICATION
Ranalli, M; Rocci, R

Quantile mixed hidden Markov models for multivariate longitudinal data: An application to children's Strengths and Difficulties Questionnaire scores

2022 - JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS
Merlo, Luca; Petrella, Lea; Tzavidis, Nikos

Graphical Models for Commodities: A Quantile Approach

2022 - Graphical Models for Commodities: A Quantile Approach
Foroni, Beatrice; Merlo, Luca; Petrella, Lea

Analyzing the Correlation Structure of Financial Markets Using a Quantile Graphical Model

2022 - Book of the Short Papers
Foroni, Beatrice; Merlo, Luca; Petrella, Lea

Quantile hidden semi-Markov models for multivariate time series

2022 - STATISTICS AND COMPUTING
Merlo, Luca; Maruotti, Antonello; Petrella, Lea; Punzo, Antonio

Semi-constrained model-based clustering of mixed-type data using a composite likelihood approach

2021 - CLADAG 2021 BOOK OF ABSTRACTS AND SHORT PAPERS : 13th Scientific Meeting of the Classification and Data Analysis Group Firenze, September 9-11, 2021
Rocci, Roberto; Ranalli, Monia

A Comparison Between Methods to Cluster Mixed-Type Data: Gaussian Mixtures Versus Gower Distance

2021 - Studies in Classification, Data Analysis, and Knowledge Organization
Ranalli, M.; Rocci, R.

Mixture of factor analyzers for mixed-type data via a composite likelihood approach

2021 - Models and Learning for Clustering and Classification
Ranalli, Monia; Rocci, Roberto

Segmentation of mortality surfaces by hidden Markov models

2019 - STATISTICAL MODELLING
Lagona, Francesco; Barbi, Elisabetta

Joint estimation of conditional quantiles in multivariate linear regression models with an application to financial distress

2019 - JOURNAL OF MULTIVARIATE ANALYSIS
Petrella, Lea; Raponi, Valentina

AN INDSCAL BASED MIXTURE MODEL TO CLUSTER MIXED-TYPE OF DATA

2019 - CLADAG 2019 - Book of short papers
ROCCI, Roberto; RANALLI, MONIA

COMPOSITE LIKELIHOOD INFERENCE FOR SIMULTANEOUS CLUSTERING AND DIMENSIONALITY REDUCTION OF MIXED-TYPE LONGITUDINAL DATA

2019 - CLADAG 2019 - Book of short papers
Maruotti, Antonello; Ranalli, Monia; Rocci, Roberto

A multilevel hidden Markov model for space-time cylindrical data

2018 - Book of Short Papers SIS 2018
LAGONA, FRANCESCO; RANALLI, MONIA

Segmentation of sea current fields by cylindrical hidden Markov models: a composite likelihood approach

2018 - JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS
Ranalli, M.; LAGONA, FRANCESCO; Picone, M.; Zambianchi, E.

Mixture models for mixed-type data through a composite likelihood approach

2017 - COMPUTATIONAL STATISTICS & DATA ANALYSIS
Ranalli, M.; Rocci, R.

Mixture models for ordinal data: a pairwise likelihood approach

2016 - STATISTICS AND COMPUTING
Ranalli, M.; Rocci, R.

Information matrix for hidden Markov models with covariates

2015 - STATISTICS AND COMPUTING
F., Bartolucci; Farcomeni, Alessio

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