Bayesian Networks in the Absence of Temporal Information - Bayesian Networks in R: With Applications in Systems Biology - page 58

2.6. Consider the observational data set from Sachs et al. ( 2005 )usedinSect. 2.5.1
(the original data set, not the discretized one).
(a) Evaluate the networks learned by hill-climbing with BIC and BGe using cross-
validation and the log-likelihood loss function.
(b) Use bootstrap resampling to evaluate the distribution of the number of arcs
present in each of the networks learned in the previous point. Do they differ
significantly?
(c) Compute the averaged network structure for sachs using hill-climbing with
BGe and different imaginary sample sizes. How does the value of the signifi-
cance threshold change as iss increases?