ΘΕΜΑ: MSc Program in Data Science and Machine/Statistical Learning - Spring 2025 Lecture Series ΑΠΟΣΤΟΛΕΑΣ: Ειρήνη Βλαχάκη vlachaki@xxxxxxxxxxxx 🎓 MSc Program in Data Science and Machine/Statistical Learning Spring 2025 Lecture Series 📅 Date: Monday, March 31, 2025 | ⏰ Time: 2:00 PM Guest Lecture 🔹 Speaker: Ioannis Ntzoufras, Athens University of Economics and Business Abstract The Stochastic Block Model (SBM) is a foundational tool in network analysis, often extended to address complex problems in various domains. In this work, we develop a Bayesian network model based on an extension of the SBM where the response is categorical and denotes different type of connections between nodes. The data are represented by a large table which is similar to a contingency table but now interest lies to finding similarities in the connections between nodes. The method can be used for either sparse or dense networks without loss of generality. We use the simple multinomial-Dirichlet conjugate Bayesian model for the estimation of the model parameters and the reversible jump algorithm for the identification of blocks/clusters/communities with similar connection properties. |