Comparison of Inverse Wishart and Separation-Strategy Priors for Bayesian Estimation of Covariance Parameter Matrix in Growth Curve Analysis

By Haiyan Liu, Zhiyong Zhang, Kevin J. Grimm. 2016

62 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Sociology and Political Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/d22257e38f0826a1cc5cce8ed01febfffa977e2f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. Daniel M. McNeish
2. Michael T. Kalkbrenner
3. Andrew F. Hayes
4. Jacob J Coutts
5. W. Stam
6. Markku V. J. Maula

In Sociology and Political Science

1. Daniel M. McNeish

In Statistics and Probability

1. Daniel M. McNeish
2. Francis L. Huang
3. Milica Miočević
4. R. van de Schoot
5. Laura M. Stapleton
6. M. Botha
7. D. Frost

Citations in the corpus

• On Using Bayesian Methods to Address Small Sample Problems (2016, background): “This prior is included due to its desirable properties in a recent simulation study by Liu, Zhang, and Grimm (2016) when the variance of the growth parameters is small, the correlation between intercept and slope variances is close to 0, or the growth trajectory is nonlinear.”