Relatore Prof.ssa Veronica Vinciotti - Dipartimento di Matematica – Università di Trento
Data 23 febbraio 2024 - ore 12:00 – 13:00
Luogo Aula 101 - Dipartimento di Economia
Abstract
Cultural values vary significantly around the world, as evidenced by numerous quantitative survey data. The changes can be seen both at the level of the marginal distributions of cultural traits for the different countries and of the dependency structure between these traits. The latter has only recently been taken into consideration and has been shown to play a key role in locating countries within a cultural spectrum. As the interest is to discover the dependencies between the cultural traits that are specific to each country as well as structural similarities between countries, we propose a computational approach for the joint inference of graphical models from the different environments. To this end, a random graph generative model is introduced. I will present a formulation of the model with a latent space, that captures relatedness across the different countries at the structural level, and a second formulation where potential drivers, such as geographical distance between countries, are directly included in the generative model. In addition, the model allows for the inclusion of external covariates at both the node and edge levels, further adapting to the richness and complexity of high dimensional data from diverse application areas.
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Locandina (in formato pdf) vedi file allegato