human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent groups of papers sharing a common citing paper.

Details of the hypergraph:
Center node: "Bayesian Experimental Design: A Review"
  Abstract: Non Bayesian experimental design for linear models has been reviewed by Stein-berg and Hunter (1984) and in the recent book by Pukelsheim (1993); Ford, Kitsos and Titterington (1989) reviewed non Bayesian design for nonlinear models. Bayesian design for both linear and nonlinear models is reviewed here. We argue that the design problem is best considered as a decision problem and that it is best solved by maximizing the expected utility of the experiment. This paper considers only in a marginal way, when appropriate, the theory of non Bayesian design.

Connected through hyperedge HE-1 (induced by source paper "Bayesian Design for the Normal Linear Model with Unknown Error Variance"):
  with members:
    (none)

Question: Please tell me which class the center node belongs to. The 7 classes are: Neural_Networks, Reinforcement_Learning, Probabilistic_Methods, Theory, Genetic_Algorithms, Case_Based, Rule_Learning. Directly output the class name.

gpt: Probabilistic_Methods