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 "Change Point and Change Curve Modeling in Stochastic Processes and Spatial Statistics"):
  Abstract: 1 This article will appear in Volume 1, no. 4 (1994) of Journal of Applied Statistical Science. Adrian E. Raftery is Professor of Statistics and Sociology, Department of Statistics, GN-22, University of Washington, Seattle, WA 98195. This research was supported by ONR contract no. N-00014-91-J-1074, by NIH Grant no. 5R01HD26330-02, by the Ministere de la Recherche et de l'Espace, Paris, by the Universite de Paris VI, and by INRIA, Rocquencourt, France. Raftery thanks the latter two institutions, Paul Deheuvels and Gilles Celeux for hearty hospitality during his Paris sabbatical in which this article was written. This article was prepared for presentation at the Conference on Applied Change Point Analysis, University of Maryland-Baltimore, March 17-18, 1993. Parts of this article review collaborative research with others to whom I would like to express my appreciation, namely Volkan Akman, Jeff Banfield, Nhu Le, Steven Lewis, Doug Martin, Fionn Murtagh, Ross Taplin and Simon Tavare.

Includes members:
  Member "Approximate Bayes Factors and Accounting for Model Uncertainty in Generalized Linear Models":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Formal Rules for Selecting Prior Distributions: A Review and Annotated Bibliography")
  Member "Bayesian Forecasting of Multinomial Time Series through Conditionally Gaussian Dynamic Models":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "BAYESIAN STATISTICS 6, pp. 000--000  Exact sampling for Bayesian inference: towards general purpose algorithms")
  Member "A Note on the Dirichlet Process Prior in Bayesian Nonparametric Inference with Partial Exchangeability 1":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "A note on convergence rates of Gibbs sampling for nonparametric mixtures")

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