activity
20152021
most citedProperties of Latent Variable Network Models

3 citations · 3 across the 3 of their papers we have counts for

collaborators

8 papers

stat.ME2021

Continuous Latent Position Models for Instantaneous Interactions

Riccardo Rastelli, Marco Corneli

We create a framework to analyse the timing and frequency of instantaneous interactions between pairs of entities. This type of interaction data is especially common nowadays, and…

stat.AP2019

Measuring systemic risk and contagion in the European financial network

Laleh Tafakori, Armin Pourkhanali, Riccardo Rastelli

This paper introduces a novel framework to study default dependence and systemic risk in a financial network that evolves over time. We analyse several indicators of risk, and deve…

stat.ME2019

A dynamic stochastic blockmodel for interaction lengths

Riccardo Rastelli, Michael Fop

We propose a new dynamic stochastic blockmodel that focuses on the analysis of interaction lengths in networks. The model does not rely on a discretization of the time dimension an…

stat.ME2018

The Sparse Latent Position Model for nonnegative weighted networks

Riccardo Rastelli

This paper introduces a new methodology to analyse bipartite and unipartite networks with nonnegative edge values. The proposed approach combines and adapts a number of ideas from…

stat.ME2018

Discussion of the article "Bayesian cluster analysis: point estimation and credible balls" by Wade and Ghahramani

Nial Friel, Riccardo Rastelli

We present a discussion of the paper "Bayesian cluster analysis: point estimation and credible balls" by Wade and Ghahramani. We believe that this paper contributes substantially t…

stat.AP2018

A dynamic network model to measure exposure diversification in the Austrian interbank market

Juraj Hledik, Riccardo Rastelli

We propose a statistical model for weighted temporal networks capable of measuring the level of heterogeneity in a financial system. Our model focuses on the level of diversificati…