1. An analysis system, comprising: one or more processors and memory communicatively coupled to the one or more processors; a dependency network that summarizes training data, the dependency network including a graphical representation of probabilistic relationships related to the training data; multiple models stored in the memory that are generated from the dependency network in lieu of and without access to the training data, the multiple models including at least a first model and a second model, the first model being different from the second model, each of the multiple models being generated from the dependency network by: returning a first statistic of the respective model in response to determining that the first statistic is explicitly encoded in the dependency network, and inferring a second statistic of the respective model from the dependency network using Gibbs sampling in response to determining that the second statistic is not explicitly encoded in the dependency network; a query engine stored in the memory and executable on the processor that interfaces with a group comprising at least the first model, the second model, a data set, and the dependency network for extracting information about the data set; a comparator stored in the memory and executable on the processor that interfaces with the query engine, the comparator determining delta information between the first model and the second model that are generated from the dependency network, and compiling additional information obtainable from a source combination including at least the first model, the second model and the dependency network but unobtainable from a single source alone, the single source being any one of the first model, the second model or the dependency network; the query engine being further configured to return information related to a query about the data set based on the first model, the second model and the dependency network, and return the delta information between the first model and the second model that are generated from the dependency network and the compiled additional information that is obtainable from the source combination including at least the first model, the second model and the dependency network but is unobtainable from the single source alone.