This chapter focuses on the so-called context-specific (CS) independence where the conditional independence holds only in a subspace of the outcome space. The main aspects concern the definition in the same model of marginal, conditional and CS independencies, through the marginal models. The chapter investigates how it is possible to test these CS independencies when there are ordinal variables. Finally, it proposes a graphical representation of all the considered independencies taking advantages from the chain graph model (CGM) and shows the results of an application on "The Italian Innovation Survey". Trivially, the CGMs are graphical models that take advantages from chain graphs to describe a system of independencies. CGMs are used when the variables to analyze are of a different nature, such that they can be naturally collected in different components.

Nicolussi, F., Cazzaro, M. (2019). Context-specific independence in innovation study. In C.H. Skiadas, J.R. Bozeman (a cura di), Data Analysis and Applications 2 (pp. 3-13). Wiley [10.1002/9781119579465.ch1].

Context-specific independence in innovation study

Nicolussi, F;Cazzaro, M
2019

Abstract

This chapter focuses on the so-called context-specific (CS) independence where the conditional independence holds only in a subspace of the outcome space. The main aspects concern the definition in the same model of marginal, conditional and CS independencies, through the marginal models. The chapter investigates how it is possible to test these CS independencies when there are ordinal variables. Finally, it proposes a graphical representation of all the considered independencies taking advantages from the chain graph model (CGM) and shows the results of an application on "The Italian Innovation Survey". Trivially, the CGMs are graphical models that take advantages from chain graphs to describe a system of independencies. CGMs are used when the variables to analyze are of a different nature, such that they can be naturally collected in different components.
Capitolo o saggio
Context-specific independence, ordinal variables, graphical models, innovation
English
Data Analysis and Applications 2
Skiadas, CH; Bozeman, JR
2019
9781786304476
3
Wiley
3
13
Nicolussi, F., Cazzaro, M. (2019). Context-specific independence in innovation study. In C.H. Skiadas, J.R. Bozeman (a cura di), Data Analysis and Applications 2 (pp. 3-13). Wiley [10.1002/9781119579465.ch1].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/220558
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