Alessio Serafini
Alessio Serafini
Data Reply IT srl
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fclust: an R package for fuzzy clustering
MB Ferraro, P Giordani, A Serafini
The R Journal, 1-18, 2019
Package ‘fclust’
P Giordani, MB Ferraro, A Serafini, MP Giordani, I Rcpp, LT Rcpp
Diakses melalui https://cran. r-project. org/web/packages/fclust/fclust. pdf, 2015
Projection pursuit based on Gaussian mixtures and evolutionary algorithms
L Scrucca, A Serafini
Journal of Computational and Graphical Statistics 28 (4), 847-860, 2019
Handling missing data in model-based clustering
A Serafini, TB Murphy, L Scrucca
arXiv preprint arXiv:2006.02954, 2020
Measurement of interrater agreement for the assessment of language proficiency
G Bove, E Nuzzo, A Serafini
ASMOD 2018. Proceedings of the Advanced Statistical Modelling for Ordinal …, 2018
Fuzzy and Model Based Clustering Methods: Can We Fruitfully Compare Them?
A Serafini, L Scrucca, M Alfņ, P Giordani, MB Ferraro
Convegno della Societą Italiana di Statistica, 283-304, 2018
Introduction to LMest
F Bartolucci, S Pandolfi, F Pennoni, A Serafini
Vignette of the package LMest, 2020
Diversity in socio-economic growth at country level: a multivariate hidden Markov model
S Pandolfi, F Bartolucci, F Pennoni, A Serafini
Book of Abstracts: Distributions and Inequality Measures in Economics, 74-75, 2020
Descriptive Analyses of Interrater Agreement for Ordinal Rating Scales
G Bove, A Serafini
Advanced Studies in Behaviormetrics and Data Science: Essays in Honor of …, 2020
Package ‘ppgmmga’
A Serafini, L Scrucca, MA Serafini
LMest: Generalized Latent Markov Models for longitudinal continuous and categorical data
F Bartolucci, S Pandolfi, F Pennoni, A Farcomeni, A Serafini
Hidden Markov models for continuous multivariate data with missing responses
F Pennoni, F Bartolucci, A Serafini, S Pandolfi
Abstract Book 16th Conference of the International Federation of …, 2019
A Comparison of Model-Based and Fuzzy Clustering Methods
M Alfo, MB Ferraro, P Giordani, S Luca, A Serafini
Book of Short Papers SIS 2018, 208-215, 2018
Similarity between partitions
P Giordani, MB Ferraro, A Serafini
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