Bin Lu
Nanjing Audit University
17 Papers
69 Citations
Bin Lu is an academic researcher from Nanjing Audit University. The author has contributed to research in topics: Latent variable & Alloy. The author has an hindex of 7, co-authored 9 publications. Previous affiliations of Bin Lu include Nanjing University of Finance and Economics & The Chinese University of Hong Kong.
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Papers
Financial literacy and household finances: A Bayesian two-part latent variable modeling approach
TL;DR: Wang et al. as discussed by the authors proposed a Bayesian two-part latent variable model (TPLVM) to investigate the impacts of financial literacy on both sides of the household balance sheet, namely, household debt (secured and unsecured debt) and assets (housing assets and non-housing financial assets) by using a national sample from the China Household Finance Survey (CHFS).
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Semiparametric Bayesian analysis of structural equation models with fixed covariates
Sik-Yum Lee,Bin Lu,Xinyuan Song +2 more
TL;DR: A general Bayesian framework is provided in which a semiparametric hierarchical modeling with an approximate truncation Dirichlet process prior distribution is specified for the latent variables in SEMs with covariates.
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Assessing local influence for nonlinear structural equation models with ignorable missing data
Sik-Yum Lee,Bin Lu,Xinyuan Song +2 more
TL;DR: A method to assess the local influence of minor perturbations for a nonlinear structural equation model with missing data that are missing at random to apply Zhu and Lee's approach to the conditional expectation of the complete-data log-likelihood function in the corresponding EM algorithm for deriving the conformal normal curvature.
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Effect of Cu Content and Zn/Mg Ratio on Microstructure and Mechanical Properties of Al-Zn-Mg-Cu Alloys
TL;DR: In this paper , the microstructure of the alloys was characterized by electron probe microanalysis (EPMA), scanning electron microscope (SEM), transmission electron microscopy (TEM), and X-ray diffractometry (XRD).
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Bayesian analysis of multi-group nonlinear structural equation models with application to behavioral finance
Bin Lu,Xinyuan Song,Xindan Li +2 more
TL;DR: In this article, a Bayesian approach for analyzing multi-group nonlinear structural equation models (SEMs) has been proposed to investigate the relationships among all identified influential factors that have an impact on the motivation for insider trading within the framework of behavioral finance.
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