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 "Causal inference, path analysis, and recursive struc-tural equations models. In C. Clogg, editor, Sociological Methodology,"):
  Abstract: Lipid Research Clinic Program 84] Lipid Research Clinic Program. The Lipid Research Clinics Coronary Primary Prevention Trial results, parts I and II. Journal of the American Medical Association, 251(3):351-374, January 1984. [Pearl 93] Judea Pearl. Aspects of graphical models connected with causality. Technical Report R-195-LL, Cognitive Systems Laboratory, UCLA, June 1993. Submitted to Biometrika (June 1993). Short version in Proceedings of the 49th Session of the International Statistical Institute: Invited papers, Flo rence, Italy, August 1993, Tome LV, Book 1, pp. 391-401.

Includes members:
  Member "A THEORY OF INFERRED CAUSATION perceive causal relationships in uncon trolled observations. 2. the task":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "A Probabilistic Calculus of Actions")
  Member "Two Algorithms for Inducing Structural Equation Models from Data":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "A THEORY OF INFERRED CAUSATION perceive causal relationships in uncon trolled observations. 2. the task")
  Member "Regression Can Build Predictive Causal Models":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Two Algorithms for Inducing Structural Equation Models from Data")
  Member "UNIVERSAL FORMULAS FOR TREATMENT EFFECTS FROM NONCOMPLIANCE DATA":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "Causal diagrams for empirical research")

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