https://isdsa.org/ 2026-04-21T17:55:24+0000 https://isdsa.org/ https://isdsa.org/lib/tpl/byu/images/favicon.ico text/html 2021-04-05T01:08:34+0000 Anonymous (anonymous@undisclosed.example.com) https://isdsa.org/jbds/v1n2/index?rev=1617584914&do=diff Volume 1 Number 2 text/html 2021-05-30T12:29:29+0000 Anonymous (anonymous@undisclosed.example.com) https://isdsa.org/jbds/v1n2/p1?rev=1622377769&do=diff Bayesian Approach to Non-ignorable Missingness in Latent Growth Models Zhenqiu (Laura) Lu* [Contact author] University of Georgia, USA zlu@uga.edu Zhiyong Zhang University of Notre Dame, USA zzhang4@nd.edu Abstract: Latent growth curve models (LGCMs) are becoming increasingly important among growth models because they can effectively capture individuals' latent growth trajectories and also explain the factors that influence such growth by analyzing the repeatedly measured manifest variab… text/html 2021-05-30T12:31:51+0000 Anonymous (anonymous@undisclosed.example.com) https://isdsa.org/jbds/v1n2/p2?rev=1622377911&do=diff A Note on Wishart and Inverse Wishart Priors for Covariance Matrix Zhiyong Zhang* [Contact author] University of Notre Dame, USA zzhang4@nd.edu Abstract: For inference involving a covariance matrix, inverse Wishart priors are often used in Bayesian analysis. To help researchers better understand the influence of inverse Wishart priors, we provide a concrete example based on the analysis of a two by two covariance matrix. Recommendations are provided on how to specify an inverse Wishart prio…