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 from Indirect Experiments"):
  Abstract: Indirect experiments are studies in which randomized control is replaced by randomized encouragement, that is, subjects are encouraged, rather than forced to receive treatment programs. The purpose of this paper is to bring to the attention of experimental researchers simple mathematical results that enable us to assess, from indirect experiments, the strength with which causal influences operate among variables of interest. The results reveal that despite the laxity of the encouraging instrument, indirect experimentation can yield significant and sometimes accurate information on the impact of a program on the population as a whole, as well as on the particular individuals who participated in the program.

Includes members:
  Member "The New Challenge: From a Century of Statistics to an Age of Causation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Causal diagrams for empirical research")
  Member "Causal diagrams for empirical research":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Probabilistic evaluation of sequential plans from causal models with hidden variables")
  Member "FROM BAYESIAN NETWORKS TO CAUSAL NETWORKS":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Causal diagrams for empirical research")
  Member "group, and despite having just 337 subjects, the study strongly supports Identification of causal effects":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "FROM BAYESIAN NETWORKS TO CAUSAL NETWORKS")

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