A Simulation Study Comparison of Bayesian Estimation With Conventional Methods for Estimating Unknown Change Points

By Lijuan Wang, J. Mcardle. 2008

67 citations recorded by the source corpus.

Subfields: Demography, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/65d22adb932f6f30d9dda6fae097591e6cb5ac2e

How researchers see this paper

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

In Demography

1. Francis Tuerlinckx
2. Raoul P. P. P. Grasman
3. Eva Ceulemans
4. Kristopher J Preacher
5. L. Wang
6. E. Hamaker

In Statistics and Probability

1. Raoul P. P. P. Grasman
2. L. Wang
3. Francis Tuerlinckx
4. Eva Ceulemans
5. Kristopher J Preacher
6. E. Hamaker
7. Andrew F. Hayes
8. Nicholas J. Rockwood

Citations in the corpus

• Moderated Mediation Analysis Using Bayesian Methods (2015, methodology): “…generally, for SEM, BUGS is a general Bayesian programming software program that allows very flexible specifications of likelihood functions (e.g., Wang & McArdle, 2008; Wang, Zhang, McArdle, & Salthouse, 2008) or alternative prior distributions, whereas Mplus is a powerful latent variable…”
• Modeling Affect Dynamics: State of the Art and Future Challenges (2015, methodology): “unknown, the analysis becomes more challenging because they also have to be retrieved from the data (Wang & McArdle, 2008).”