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Advances in Data Analysis a...
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Choosing the number of factors in factor analysis with incomplete data via a novel hierarchical Bayesian information criterion
Journal article
Advances in Data Analysis and Classification,2025, volume: 19, issue: 1, pages: 209-235
Authors:
Zhao, Jianhua
;
Shang, Changchun
;
Li, Shulan
;
Xin, Ling
;
Yu, Philip L.H.
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View/Download:39/0
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Submit date:2025/05/06
BIC
Factor analysis
Incomplete data
Maximum likelihood
Model selection
Variational Bayesian
A Bayesian multistage spatio-temporally dependent model for spatial clustering and variable selection
Journal article
Statistics in Medicine,2023, volume: 42, issue: 26, pages: 4794-4823
Authors:
Ma, Shaopei
;
Yu, Keming
;
Tang, Man lai
;
Pan, Jianxin
;
Härdle, Wolfgang Karl
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View/Download:10/0
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Submit date:2023/11/21
Bayesian hierarchical model
spatial clustering
spatial confounding problem
spatio-temporal modeling
variable selection
A Unified Approach to Two-Level Structural Equation Models and Linear Mixed Effects Models
Book chapter
出自: Random Effect and Latent Variable Model Selection, New York:Springer,, 2008, pages: 95-119
Authors:
Peter M. Bentler
;
Jiajuan Liang
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Submit date:2021/08/30
Linear Mixed Effect Model
Saturated Model
Linear Mixed Effect Model
Bayesian Model Selection
Unknown Model Parameter