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: "COMPUTING DISTRIBUTIONS OF ORDER STATISTICS"
  Abstract: Recurrence relationships among the distribution functions of order statistics of independent, but not identically distributed, random quantities are derived. These results extend known theory and provide computationally practicable algorithms for a variety of problems.

Connected through hyperedge HE-1 (induced by source paper "Practical Bayesian Inference Using Mixtures of Mixtures"):
  with members:
    - "Studies of Neurological Transmission Analysis using Hierarchical Bayesian Mixture Models"
    - "Computing Nonparametric Hierarchical Models"

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