To Bayes or Not to Bayes, From Whether to When: Applications of Bayesian Methodology to Modeling

By Andre A. Rupp, Dipak K. Dey, Bruno D. Zumbo. 2004

150 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b6ddb329aa6bbb683fe986f6c70120507c0f0901

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In Statistics and Probability

Citations in the corpus

A skew item response model (2006, background): “In the IRT literature there seems to be consensus with respect to the prior for U, but different priors have been investigated for the item parameters (see Rupp et al. 2004; ?).”
A Bayesian Approach to Multilevel Structural Equation Modeling With Continuous and Dichotomous Outcomes (2015, methodology): “For more information on Bayesian analysis, we refer the reader to Kaplan and Depaoli (2013), Rupp, Dey, and Zumbo (2004), and van de Schoot et al. (2014) for a simple introduction; and Gelman, Carlin, Stern, & Rubin, (2004) for a more technical treatment of the topic.”
On the specification of structural equation models for ecological systems. (2010, methodology): “…Bayesian ideas andmethods have been incorporated in structural equation models (e.g., Raftery 1993) and estimation using Markov Chain Monte Carlo methods in combinationwith Bayes’ theorem is becoming increasingly common (Scheines et al. 1999, Rupp et al. 2004, Arhonditsis et al. 2006, Lee 2007).”
Bayesian structural equation modeling: a more flexible representation of substantive theory. (2012, background): “Overview articles of an applied nature and with a latent variable focus include Scheines, Hoijtink, and Boomsma (1999); Rupp, Dey, and Zumbo (2004); Yuan and MacKinnon (2009); and Kaplan and Depaoli (in press).”
A Systematic Review of the Methodology for Person Fit Research in Item Response Theory: Lessons about Generalizability of Inferences from the Design of Simulation Studies (2013, background): “In the context of estimation the distinction between frequentist and Bayesian approaches to model estimation become important; for details on Bayesian statistics more generally I refer the reader to sources like Lynch (2007), Patz and Junker (1999a, 1999b), or Rupp, Dey, and Zumbo (2004).”
A Bayesian Semiparametric Latent Variable Model for Mixed Responses (2007, unknown): “An overview of recent development is provided by Rupp, Dey, and Zumbo (2004) .”
Guidelines for a graph-theoretic implementation of structural equation modeling (2012, methodology): “Application of Bayesian methods to SEM is now seeing increased use (Ansari et al. 2000, Rupp et al. 2004, Dunson et al. 2005, Arhonditsis et al. 2006, Lee 2007, Grace et al. 2011, Gimenez et al. 2012).”
An evaluation of WLSMV and Bayesian methods for confirmatory factor analysis with categorical indicators (2014, unknown): “Several studies (e.g., Asparouhov and Muthén, 2010a; Lee, 2007; Lee and Song, 2004; Rupp et al., 2004) have shown advantages of Bayesian methods over asymptotic estimators such as ML for point estimates with continuous data when sample sizes are small.”