Regression Graph Models for Categorical Data

Parameterization and Inference

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Éditeur :

Springer

Paru le : 2025-11-13

This book consolidates knowledge on regression chain graph models, often referred to as regression graph models, with a particular emphasis on their parameterizations and inference for the analysis of categorical data. It presents regression graphs, their interpretation in terms of sequences of mult...
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Éditeur

Collection
n.c

Parution
2025-11-13

Pages
109 pages

EAN papier
9783031997969

Monia Lupparelli is an Associate Professor at the Department of Statistics, Computer Science and Applications, University of Florence, Italy. Besides graphical Markov models and categorical data analysis, her main research interests include causal inference with emphasis on statistical methods for causal discovery, statistical models for the analysis of dynamic network data, and latent Markov models for longitudinal data analysis with application in several fields. Giovanni Maria Marchetti is a Full Professor at the Department of Statistics, Computer Science and Applications, University of Florence, Italy. His research interests include the theory and applications of multivariate analysis, generalized linear models for circular data and graphical Markov models. His more recent publications concern the representations of independencies in chain and mixed graphs and the properties of the symmetric Ising distributions. Claudia Tarantola is a Full Professor at the Department of Economics, Management and Quantitative Methods, University of Milan, Italy. Besides graphical models and categorical data analysis, her research interests include Bayesian methods, Markov Chain Monte Carlo techniques, statistical models for financial risk, data science, and quantitative methods for diversity and inclusion.  

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9783031997976
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47,46 €
Nombre pages copiables
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Nombre pages imprimables
10
Taille du fichier
3779 Ko
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9783031997976
Prix
47,46 €
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Nombre pages imprimables
10
Taille du fichier
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