which of the following describes a type of statistical inference? how to determine if a model is causal? what is the function of probability density why a statistician should use a Bayesian method what is the probability density in time series what is the purpose of the probability density function in the Bayesian framework? who is using a posterior probabilistic model how to determine causality what is the likelihood of a prediction with a time series how to determine likelihood in a time series what is posterior probabilistic inference how to use the bayesian method to predict a time series which statement describes the probability density function?? what's the purpose of the posterior probability density function can a statistician predict the outcome of a time series with a Bayesian model? which statistic method is used to determine the probability of a causal reaction what is the probability density function of a Bayesian model what is the purpose of the probability density function in this experiment? why is it necessary to use the bayesian method which rule describes the possibility of a prior event in a time series and the likelihood of an observation? what type of function is p in time series