Kevin J. Grimm

Statistics and Probability · with Zhang · 2007–2016

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 16 citations into it; #12,623 of 12,932 by trust here, #6,853 by citations
• Artificial Intelligence — 6 citations into it
• Management Science and Operations Research — 6 citations into it
• Experimental and Cognitive Psychology — 5 citations into it

Whom Kevin J. Grimm trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. J. Mcardle
2. Andrew Gelman
3. John K. Kruschke
4. Kenneth A. Bollen
5. J. Singer
6. Nicholas G. Polson
7. J. Nesselroade

Who trusts Kevin J. Grimm overall

1. Daniel M. McNeish

Papers from Kevin J. Grimm's perspective

Ordered by how strongly the researchers Kevin J. Grimm trusts endorse each paper. Same corpus, a different order for every researcher.

1. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
2. Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
3. Applied Longitudinal Data Analysis
4. Conservative prior distributions for variance parameters in hierarchical models
5. Dynamic Latent Trait Models for Multidimensional Longitudinal Data
6. Testing Structural Equation Models
7. Bayesian data analysis.
8. On the half-cauchy prior for a global scale parameter
9. Bayesian analysis of longitudinal data using growth curve models
10. Latent difference score structural models for linear dynamic analyses with incomplete longitudinal data.

Their papers

• Bayesian analysis of longitudinal data using growth curve models (2007) — 143 citations
• Comparison of Inverse Wishart and Separation-Strategy Priors for Bayesian Estimation of Covariance Parameter Matrix in Growth Curve Analysis (2016) — 62 citations