what is the static bayesian network used for why are dynamic bayesian networks p-valued? which type of data is used in dynamic bayesian networks? what is dynamic bayesian network with p? what is the best way to handle the data of a bayesian network? what is a dynamic, linear, and dynamic Bayesian network? what kind of data is a dynamic bayesian network why use p-values in bayesian networks why are static bayesian networks useful why use p values in bayesian networks which is the best way of handling static bayesian networks? how to use p-values of static why use p values in a dynamic bayesian network what is the best way to handle a bayesian network what is the best way to handle dynamic bayesian networks? which approach best handles continuous and static data? what data type is used to generate dynamic bayesian networks what is dynamic and dynamic in a dynamic bayesian network what is the best way to handle dynamic bayesian networks which technique is best for dealing with p values