human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent groups of papers sharing a common citing paper.

Details of the hypergraph:
Center node: "A Note on the Dirichlet Process Prior in Bayesian Nonparametric Inference with Partial Exchangeability 1"
  Abstract: Technical Report no. 297 Department of Statistics University of Washington 1 Sonia Petrone is Assistant Professor, Universita di Pavia, Dipartimento di Economia Politica e Metodi Quantitativi, I-27100 Pavia, Italy and Adrian E. Raftery is Professor of Statistics and Sociology, Department of Statistics, University of Washington, Box 354322, Seattle, WA 98195-4322. This research was supported by ONR grant no. N-00014-91-J-1074 and by grants from MURST, Rome.

Connected through hyperedge HE-1 (induced by source paper "A note on convergence rates of Gibbs sampling for nonparametric mixtures"):
  with members:
    - "A simulation approach to convergence rates for Markov chain Monte Carlo algorithms"
    - "Convergence properties of perturbed Markov chains"
    - "Auxiliary Variable Methods for Markov Chain Monte Carlo with Applications"
    - "Geometric Ergodicity and Hybrid Markov Chains"

Connected through hyperedge HE-2 (induced by source paper "Change Point and Change Curve Modeling in Stochastic Processes and Spatial Statistics"):
  with members:
    - "Approximate Bayes Factors and Accounting for Model Uncertainty in Generalized Linear Models"
    - "Bayesian Forecasting of Multinomial Time Series through Conditionally Gaussian Dynamic Models"

Question: Please tell me which class the center node 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