Download e-book for iPad: Bayesian Networks: With Examples in R (Chapman & Hall/CRC by Marco Scutari,Jean-Baptiste Denis

By Marco Scutari,Jean-Baptiste Denis

Understand the rules of Bayesian Networks—Core homes and Definitions defined

Bayesian Networks: With Examples in R introduces Bayesian networks utilizing a hands-on technique. uncomplicated but significant examples in R illustrate every one step of the modeling procedure. The examples commence from the best notions and progressively raise in complexity. The authors additionally distinguish the probabilistic versions from their estimation with information sets.

The first 3 chapters clarify the entire strategy of Bayesian community modeling, from constitution studying to parameter studying to inference. those chapters hide discrete Bayesian, Gaussian Bayesian, and hybrid networks, together with arbitrary random variables.

The publication then supplies a concise yet rigorous remedy of the basics of Bayesian networks and provides an advent to causal Bayesian networks. It additionally offers an outline of R and different software program programs applicable for Bayesian networks. the ultimate bankruptcy evaluates real-world examples: a landmark causal protein signaling community paper and graphical modeling techniques for predicting the composition of other physique parts.

Suitable for graduate scholars and non-statisticians, this article offers an introductory evaluate of Bayesian networks. It offers readers a transparent, sensible figuring out of the overall process and steps concerned.

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Bayesian Networks: With Examples in R (Chapman & Hall/CRC Texts in Statistical Science) by Marco Scutari,Jean-Baptiste Denis

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