Presentations and Authors


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Advanced Clustering Methods for Complex Networks

Cluster analysis for the study of online visual communication PDF
Matteo Magnani, Matias Piqueras, Alexandra Segerberg, Davide Vega, Victoria Yantseva

Advances in Bayesian Nonparametrics

ISSUES WITH SPARSE SPATIAL RANDOM GRAPHS
Francesca Panero

Advances in Directional Statistics

Circular regression with measurement errors
Marco Di Marzio, Chiara Passamonti, Charles C. Taylor

Anomaly Detection

Visualizing Anomalies in Circular Data
Davide Buttarazzi, Giovanni C Porzio

Contributed papers

A COMPOSITIONAL STOCHASTIC BLOCK MODEL FOR THE ANALYSIS OF THE ERASMUS PROGRAMME NETWORK
Iuliia Promskaia, Adrian O'Hagan, Michael Fop
Functional data analysis approach for identifying redundancy in air quality monitoring stations
Annalina Sarra, Adelia Evangelista, Tonio Di Battista, Sergio Palermi
A Three-Way "Indirect" Redundancy Analysis
Laura Marcis, Maria Chiara Pagliarella, Renato Salvatore
Robust penalized multivariate analysis for high-dimensional data
Pia Pfeiffer, Peter Filzmoser
Structural zeros in regression models with compositional explanatory variables
Francesco Porro
Classification of daily streamflow data: a study on regime changes
Marcella Corduas, Domenico Piccolo
STRATIFIED SAMPLING ON DATA NUGGETS: A STRATEGY FOR DATA REDUCTION
Ravi Kumar Gangadharan, Vanessa Petrarca, Maria Chiara Pagliarella, Giovanni Porzio
A proposal to evaluate the solution of a fuzzy clustering algorithm
Carmela Iorio, Giuseppe Pandolfo, Antonio D'Ambrosio
DEndrogram Slicing through a PermutatiOn Test Approach reconsidered
Lucio Palazzo, Alfonso Iodice D'Enza, Francesco Palumbo, Domenico Vistocco
Inequalities at entrance, labour market conditions and university dropout: first evidence from Italy
Cristian Usala, Isabella Sulis, Mariano Porcu
A MULTIVARIATE PERMUTATION TEST FOR ASSOCIATION
Elena Barzizza, Riccardo Ceccato, Solomon Harrar, Fortunato Pesarin, Luigi Salmaso
A COMPARISON BETWEEN THE VARYING-THRESHOLDS MODEL AND QUANTILE REGRESSION
Marta Pittavino
When nonresponse makes estimates from a census a small area estimation problem: the case of the survey on Graduates' Employment Status in Italy
Maria Giovanna Ranalli, Fulvia Pennoni, Francesco Bartolucci, Antonietta Mira
A CASE STUDY OF ELECTRONIC MEDICAL RECORDS USE FOR PREDICTING KIDNEY INJURY
Davide Passaro, Luca Tardella, Giovanna Jona Lasinio, Tiziana Fragasso, Valeria Raggi, Zaccaria Ricci
Markov switching autoregressive models for the analysis of hydrological time series
Roberta Paroli, Luigi Spezia
Matrix-variate hidden Markov regressions
Salvatore D. Tomarchio, Antonio Punzo, Antonello Maruotti
Cluster analysis and conditional copula: a joint approach to analyse energy demand
F. Marta L. Di Lascio, Roberta Pappadà
TESTING CLUSTERS OF LOCATIONS IN SPATIAL DYNAMIC PANEL DATA MODELS
Giuseppe Feo, Francesco Giordano, Marcella Niglio, Maria Lucia Parrella
VARIABLE RANKING IN BIVARIATE COPULA SURVIVAL MODELS
Marcella Niglio, Danilo Petti, Marialuisa Restaino
MULTIVARIATE REGRESSION TREE TO INVESTIGATE THE ITALIAN MORTALITY RATES
Giulia Contu, Marco Ortu, Luca Frigau, Sara Pau
MEASUREMENT INVARIANCE: A METHOD BASED ON LATENT MARKOV MODELS
Francesco Dotto, Roberto Di Mari, Alessio Farcomeni, Antonio Punzo
Multilevel Cross-Classified Latent Class Models Untitled
Silvia Columbu, Nicola Piras, Jeroen Vermunt
BAYESIAN ANALYSIS FOR A GRAPHICAL T MODEL
Jason Pillay, Andriette Bekker, Johan Ferreira, Mohammad Arashi
Personalized Treatment Selection Model for Survival Outcomes
Matteo Pedone
Explainable Machine Learning for Lending Default Classification
Paolo Pagnottoni, Thuy Thanh Do, Golnoosh Babaei

From texts to knowledge: advances and challenges in textual data analysis

Analysing the effect of different design choices in network-based topic detection
Carla Galluccio, Matteo Magnani, Davide Vega, Giancarlo Ragozini, Alessandra Petrucci
Ensemble Method for Text Classification in Medicine with Multiple Rare Classes
Alessandro Albano, Mariangela Sciandra, Antonella Plaia

Functional and Object-oriented Data Analysis

Sparse clustering for functional data
Fabio Centofanti, Antonio Lepore, Biagio Palumbo
Nonparametric local inference for functional data defined on manifold domains
Niels Lundtorp Olsen, Alessia Pini, Simone Vantini

Latent Variable and Hidden Markov Models for Big Data Analytics

Case-control variational inference for large scale stochastic block models
Silvia Pandolfi, Francesco Bartolucci

Measurement Uncertainty in Complex Models

THREE-STEP RECTANGULAR LATENT MARKOV MODELING BASED ON ML CORRECTION
Rosa Fabbricatore, Roberto Di Mari, Zsuzsa Bakk, Mark de Rooij, Francesco Palumbo

Networks and Higher-Order Networks Data Analysis and Applications

THE BROAD PHENOTYPE-SPECIFIC APPLICATIONS OF THE NETWORK-BASED SWIM TOOL
Federica Conte, Paola Paci

Preference Data Analysis

Distance-based aggregation and consensus for preference-approvals
Alessandro Albano, Mariangela Sciandra, Antonella Plaia

Real Big Data Applications for Socio-economic Applications

Reducing selection bias in non-probability sample by Small Area Estimation
Francesco Schirripa Spagnolo, Gaia Bertarelli, Nicola Salvati, Donato Summa, Monica Scannapieco, Stefano Marchetti, Monica Pratesi

Recent Advances in Model-based Unsupervised Learning

Model-based clustering via parsimonious mixtures of dimension-wise scaled normal mixtures
Antonio Punzo

SFC Session

Distances, Orders and Spaces
Pascal Préa

Statistical Learning Methods in Finance and Business

CORPORATE BANKRUPTCY PREDICTION: APPLICATION OF STATISTICAL LEARNING METHODS
Barbara Pawelek, Maria Sadko