Giuliano Galimberti

发表

Multiple cluster structures and mixture models: recent developments for multilevel data

Giuliano Galimberti, Gabriele Soffritti, 2007 .

Modelling the role of variables in model-based cluster analysis

Giuliano Galimberti, Gabriele Soffritti, Annamaria Manisi, 2017, Statistics and Computing.

Identifying Multiple Cluster Structures Through Latent Class Models

Giuliano Galimberti, Gabriele Soffritti, G. Galimberti, 2005, GfKl.

Bayesian variable selection in linear regression models with non-normal errors

Saverio Ranciati, Giuliano Galimberti, Gabriele Soffritti, 2018, Statistical Methods & Applications.

Tree‐Based Methods and Decision Trees

Giuliano Galimberti, Gabriele Soffritti, G. Galimberti, 2011 .

Computer lab session 4: data sets

Giuliano Galimberti, 2017 .

Giuliano Galimberti, Gabriele Soffritti, G. Galimberti, 2020, Adv. Data Anal. Classif..

A multivariate linear regression analysis using finite mixtures of t distributions

Giuliano Galimberti, Gabriele Soffritti, G. Galimberti, 2014, Comput. Stat. Data Anal..

Multivariate linear regression with non-normal errors: a solution based on mixture models

Giuliano Galimberti, Gabriele Soffritti, G. Galimberti, 2011, Stat. Comput..

Computer lab session 2: data files and R scripts

Giuliano Galimberti, 2016 .

Overlapping mixture models for network data (\texttt{manet}) with covariates adjustment

Saverio Ranciati, Veronica Vinciotti, Giuliano Galimberti, 2018 .

Computer lab session 3

Giuliano Galimberti, 2016 .

Using conditional independence for parsimonious model-based Gaussian clustering

Giuliano Galimberti, Gabriele Soffritti, G. Galimberti, 2013, Stat. Comput..

Classification Trees for Ordinal Responses in R: The rpartScore Package

Giuliano Galimberti, Gabriele Soffritti, Matteo Di Maso, 2012 .

Discussion of “Model-based clustering and classification with non-normal mixture distributions” by S.X. Lee and G.J. McLachlan

Angela Montanari, Giuliano Galimberti, 2013, Stat. Methods Appl..

Using mixtures in seemingly unrelated linear regression models with non-normal errors

Giuliano Galimberti, Gabriele Soffritti, Elena Scardovi, 2014, Stat. Comput..

Notes on the Robustness of Regression Trees Against Skewed and Contaminated Errors

Marilena Pillati, Giuliano Galimberti, Gabriele Soffritti, 2011 .

A model-based procedure for detecting multiple cluster structures

Giuliano Galimberti, Gabriele Soffritti, 2005 .

Penalized factor mixture analysis for variable selection in clustered data

Angela Montanari, Cinzia Viroli, Giuliano Galimberti, 2009, Comput. Stat. Data Anal..

Computer lab session 8: solutions

Giuliano Galimberti, 2017 .

Some examples of questions for the written exam - part I: solutions

Giuliano Galimberti, G. Galimberti, 2016 .

Flexible Bayesian modelling of concomitant covariate effects in mixture models

Thomas Brendan Murphy, Saverio Ranciati, Giuliano Galimberti, 2021, 2105.12852.

Variable Selection in Cell Classification Problems: A Strategy Based on Independent Component Analysis

Cinzia Viroli, Marilena Pillati, Giuliano Galimberti, 2005 .

rpartScore: Classification trees for ordinal responses

Giuliano Galimberti, Gabriele Soffritti, M. Di Maso, 2012 .

Regression Trees for Longitudinal Data with Time-Dependent Covariates

Angela Montanari, Giuliano Galimberti, A. Montanari, 2002 .

A genome wide association study for backfat thickness in Italian Large White pigs highlights new regions affecting fat deposition including neuronal genes

Vincenzo Russo, Pier Luigi Martelli, Rita Casadio, 2012, BMC Genomics.