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 "Analysis of a Non-Reversible Markov Chain Sampler"):
  Abstract: Technical Report BU-1385-M, Biometrics Unit, Cornell University Abstract We analyse the convergence to stationarity of a simple non-reversible Markov chain that serves as a model for several non-reversible Markov chain sampling methods that are used in practice. Our theoretical and numerical results show that non-reversibility can indeed lead to improvements over the diffusive behavior of simple Markov chain sampling schemes. The analysis uses both probabilistic techniques and an explicit diagonalisation. We thank David Aldous, Martin Hildebrand, Brad Mann, and Laurent Saloff-Coste for their help.

Includes members:
  Member "Markov Chain Monte Carlo Methods Based on `Slicing' the Density Function":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Continuous sigmoidal belief networks trained using slice sampling")
  Member "SUPPRESSING RANDOM WALKS IN MARKOV CHAIN MONTE CARLO USING ORDERED OVERRELAXATION":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Markov Chain Monte Carlo Methods Based on `Slicing' the Density Function")

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