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  3. Vol. 2 No. 2 (2022): Volume 2 Number 2

Vol. 2 No. 2 (2022): Volume 2 Number 2

					View Vol. 2 No. 2 (2022): Volume 2 Number 2

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DOI: https://doi.org/10.35566/jbds/v2n2
Published: 2022-12-19

Full Issue

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Theory and Methods

  • Disentangling the Influence of Data Contamination in Growth Curve Modeling: A Median Based Bayesian Approach

    Tonghao Zhang, Xin Tong*, Jianhui Zhou
    1-22
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  • A New Bayesian Structural Equation Modeling Approach with Priors on the Covariance Matrix Parameter

    Haiyan Liu*, Wen Qu, Zhiyong Zhang, Hao Wu
    23-46
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  • The Performances of Gelman-Rubin and Geweke's Convergence Diagnostics of Monte Carlo Markov Chains in Bayesian Analysis

    Han Du*, Zijun Ke, Ge Jiang, Sijia Huang
    47-72
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  • Relative Predictive Performance of Treatments of Ordinal Outcome Variables across Machine Learning Algorithms and Class Distributions

    Honoka Suzuki*, Oscar Gonzalez
    73-98
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Tutorials

  • Handling Ignorable and Non-ignorable Missing Data through Bayesian Methods in JAGS

    Ziqian Xu*
    99-126
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  • A Tutorial on Bayesian Latent Class Analysis Using JAGS

    Meng Qiu*
    127-155
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  • A Tutorial on Bayesian Analysis of Count Data Using JAGS

    Sijing Shao*
    156-173
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Journal of Behavioral Data Science | jbds@isdsa.org
ISSN: 2575-8306 (Print) | ISSN: 2574-1284 (Online) | DOI: 10.35566/jbds

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