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 "Decision Analysis by Augmented Probability Simulation"):
  Abstract: We provide a generic Monte Carlo method to find the alternative of maximum expected utility in a decision analysis. We define an artificial distribution on the product space of alternatives and states, and show that the optimal alternative is the mode of the implied marginal distribution on the alternatives. After drawing a sample from the artificial distribution, we may use exploratory data analysis tools to approximately identify the optimal alternative. We illustrate our method for some important types of influence diagrams. (Decision Analysis, Influence Diagrams, Markov chain Monte Carlo, Simulation)

Includes members:
  Member "Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Perfect Simulation in Stochastic Geometry")
  Member "Assessing Convergence of Markov Chain Monte Carlo Algorithms":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "An Approach to Diagnosing Total Variation Convergence of MCMC Algorithms")

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