Bayesian Networks: With Examples in R (Chapman & Hall/CRC Texts in Statistical
110,00 €
These chapters cover discrete, Gaussian, and conditional Gaussian Bayesian networks. The following two chapters delve into dynamic networks (to model temporal data) and into networks including arbitrary random variables (using Stan).
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