human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups papers that share a common citing paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "The New Challenge: From a Century of Statistics to an Age of Causation"):
  Abstract: Some of the main users of statistical methods - economists, social scientists, and epidemiologists are discovering that their fields rest not on statistical but on causal foundations. The blurring of these foundations over the years follows from the lack of mathematical notation capable of distinguishing causal from equational relationships. By providing formal and natural explication of such relations, graphical methods have the potential to revolutionize how statistics is used in knowledge-rich applications. Statisticians, in response, are beginning to realize that causality is not a metaphysical dead-end but a meaningful concept with clear mathematical underpinning. The paper surveys these developments and outlines future challenges.

Includes members:
  Member "Causal diagrams for empirical research":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Causal Inference from Indirect Experiments")
  Member "Causal Inference from Indirect Experiments":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Causal diagrams for empirical research")
  Member "Probabilistic evaluation of sequential plans from causal models with hidden variables":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "A Probabilistic Calculus of Actions")

Question: Please tell me which class the citing paper (i.e., the source paper of the center hyperedge) 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