Initial Value Selection in Applying an EM Algorithm for Recursive Models of Categorical Variables

  • Jeong, Mi-Sook (Department of Statistics, Pusan National University, Pusan 609-735, South Korea) ;
  • Kim, Sung-Ho (Basic Sciences Division, Korea Advanced Institute of Science and Technolog, Taejon 305-701) ;
  • Jeong, Kwang-Mo (Research Institute of Information and Communication, Department of Statistics, Pusan National University, Pusan 609-735, South Korea)
  • Published : 1998.03.01

Abstract

Maximum likelihood estimates (MLEs) for recursive models of categorical variables are discussed under an EM framework. Since MLEs by EM often depend on the choice of the initial values for MLEs, we explore reasonable rules for selecting the initial values for EM. Simulation results strongly support the proposed rules.

Keywords

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