In this chapter, we focus on exploring some basic ideas on Bayesian and Markov networks and associated inferential procedures under both the classical and Bayesian paradigm. This chapter draws heavily on the article by Friedman et al. (2007). At the end of this chapter some conceptual as well as hands-on-exercises are provided for a better understanding of the subject matter. The author welcomes any constructive criticism, suggestions from the readers of this book.
CITATION STYLE
Puza, B. (2015). Bayesian Methods for Statistical Analysis. Bayesian Methods for Statistical Analysis. ANU eView. https://doi.org/10.22459/bmsa.10.2015
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