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 "BAYESIAN ESTIMATION OF THE VON MISES CONCENTRATION PARAMETER"):
  Abstract: The von Mises distribution is a maximum entropy distribution. It corresponds to the distribution of an angle of a compass needle in a uniform magnetic field of direction, , with concentration parameter, . The concentration parameter, , is the ratio of the field strength to the temperature of thermal fluctuations. Previously, we obtained a Bayesian estimator for the von Mises distribution parameters using the information-theoretic Minimum Message Length (MML) principle. Here, we examine a variety of Bayesian estimation techniques by examining the posterior distribution in both polar and Cartesian co-ordinates. We compare the MML estimator with these fellow Bayesian techniques, and a range of Classical estimators. We find that the Bayesian estimators outperform the Classical estimators.

Includes members:
  Member "MDL and MML Similarities and Differences (Introduction to Minimum Encoding Inference Part III)":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "On Pruning and Averaging Decision Trees")
  Member "MML mixture modelling of multi-state, Poisson, von Mises circular and Gaussian distributions":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Finding Overlapping Distributions with MML")

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