Mixtures of the normal mean-variance of Lindley factor analysis model with missing data

سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 32

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شناسه ملی سند علمی:

JR_JSMTA-4-2_003

تاریخ نمایه سازی: 2 تیر 1403

چکیده مقاله:

For a heterogeneous community comprised of multiple sub-communities‎, ‎the model-based clustering method stands out as a suitable recommendation‎. ‎Moreover‎, ‎incomplete data collection and information loss may occur due to a variety of causes‎. ‎In this paper‎, ‎our focus is on investigating the mixture of factor analysis model in the presence of missing data‎. ‎Here‎, ‎the latent factors and errors within each sub-cluster exhibit non-normal characteristics and adhere to the normal mean-variance mixture of Lindley distribution‎. ‎This model is termed the mixture of normal mean-variance mixture of Lindley factor analysis‎. ‎To estimate model parameters and generate a single imputation of potential missing values under the missing with random mechanism‎, ‎we introduce a generalized expectation-maximization algorithm‎. ‎The number of factors and mixture components are determined by the evaluation criteria of the model‎. ‎The proposed model's advantage is validated through a real dataset and simulation studies‎, ‎demonstrating its superior performance compared to existing models.

نویسندگان

Maryam Darijani

Department of Statistics‎, ‎Yazd University‎ ‎,Yazd,‎ ‎Iran

Hojatollah Zakerzadeh

Department of Statistics‎, ‎Yazd University‎ ‎,Yazd,‎ ‎Iran

Farzane Hashemi

Department of Statistics‎, ‎University of Kashan‎, ‎Kashan