to Bayesian Networks -- A Polemic for Bayesian Statistics -- A Tutorial on Learning with Bayesian Networks -- The Causal Interpretation of Bayesian Networks -- An Introduction to Bayesian Networks and Their Contemporary Applications -- Objective Bayesian Nets for Systems Modelling and Prognosis in Breast Cancer -- Modeling the Temporal Trend of the Daily Severity of an Outbreak Using Bayesian Networks -- An Information-Geometric Approach to Learning Bayesian Network Topologies from Data -- Causal Graphical Models with Latent Variables: Learning and Inference -- Use of Explanation Trees to Describe the State Space of a Probabilistic-Based Abduction Problem -- Toward a Generalized Bayesian Network -- A Survey of First-Order Probabilistic Models.