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 "Stochastic Complexity Based Estimation of Missing Elements in Questionnaire Data"):
  Abstract: In this paper we study a new information-theoretically justified approach to missing data estimation for multivariate categorical data. The approach discussed is a model-based imputation procedure relative to a model class (i.e., a functional form for the probability distribution of the complete data matrix), which in our case is the set of multinomial models with some independence assumptions. Based on the given model class assumption an information-theoretic criterion can be derived to select between the different complete data matrices. Intuitively this general criterion, called stochastic complexity, represents the shortest code length needed for coding the complete data matrix relative to the model class chosen. Using this information-theoretic criteria, the missing data problem is reduced to a search problem, i.e., finding the data completion with minimal stochastic complexity. In the experimental part of the paper we present empirical results of the approach using two real data sets, and compare these results to those achived by commonly used techniques such as case deletion and imputating sample averages.

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 "Bayesian and Information-Theoretic Priors for Bayesian Network Parameters":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "MDL and MML Similarities and Differences (Introduction to Minimum Encoding Inference Part III)")

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