Bayesian Networks
Budget: €8 – €30 EUR
1. Objectives
The purpose of this theme is to represent and solve problems with events probabilistic using Bayesian networks.
The aspects pursued in this topic are:
■ understanding issues involving uncertainty in natural language
■ determining the variables and the connections between them
■ Correct representation of causal relationships between variables using a Bayesian network
■ the correct transposition of the probabilities associated with the variables in the Bayes network
■ calculation of probabilities based on the representation using the Bayes network
■ deploy a Bayes network using a dedicated application
2. Proposed problems
The theme starts from 3 problems given in natural language. Every problem contains
certain probabilistic events and relationships between events that will be represented using a
Bayes network. In each problem you will be asked for more probabilities, which you will
calculate using the associated Bayes network structure.
The purpose of this theme is to represent and solve problems with events probabilistic using Bayesian networks.
The aspects pursued in this topic are:
■ understanding issues involving uncertainty in natural language
■ determining the variables and the connections between them
■ Correct representation of causal relationships between variables using a Bayesian network
■ the correct transposition of the probabilities associated with the variables in the Bayes network
■ calculation of probabilities based on the representation using the Bayes network
■ deploy a Bayes network using a dedicated application
2. Proposed problems
The theme starts from 3 problems given in natural language. Every problem contains
certain probabilistic events and relationships between events that will be represented using a
Bayes network. In each problem you will be asked for more probabilities, which you will
calculate using the associated Bayes network structure.