Understand the Foundations of Bayesian Networks-Core Properties and Definitions Explained Bayesian Networks: With Examples in R introduces Bayesian networks using a hands-on approach. Simple yet meaningful examples in R illustrate each step of the modeling process. The examples start from the simple[...]
This book addresses one of the most exciting and innovative developments within higher education: the rise in prominence of the creative arts and the accelerating recognition that creative practice is a form of research. The book considers how creative practice can lead to research insights through [...]
Bayesian Networks in R with Applications in Systems Biology is unique as it introduces the reader to the essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source statistical environment R. The level of sophistication is also gradually increased ac[...]