REFERENCES
- Albert, J.H., Chib, S. (1993), Bayesian Analysis of Binary and Polychotomous Response Data, Journal of the American Statistical Association, 88, 669–679.
- Amici, F., Barney, B., Johnson, V. E., Call, J., Aureli, F. (2012), A Modular Mind? A Test Using Individual Data from Seven Primate Species, PLoS ONE, 7, e51918.
- Banerjee, K., Chabris, C., Johnson, V., Lee, J., Tsao, F., Hauser, M. (2009), General Intelligence in Another Primate: Individual Differences across Cognitive Task Performance in a New World Monkey (Saguinus Oedipus), PLoS ONE, 4, e5883.
- Cowles, M. K. (1996), Accelerating Monte Carlo Markov Chain Convergence for Cumulative-link Generalized Linear Models, Statistics and Computing, 6, 101–111.
- Dunson, D. B. (2000), Bayesian Latent Variable Models for Clustered Mixed Outcomes, Journal of the Royal Statistical Society, Series B, 62, 355–366.
- Fahrmeir, L., Raach, A. (2007), A Bayesian Semiparametric Latent Variable Model for Mixed Responses, Psychometrika, 72, 327–346.
- Gruhl, J., Erosheva, E. A., Crane, P. K. (2013), A Semiparametric Approach to Mixed Outcome Latent Variable Models: Estimating the Association between Cognition and Regional Brain Volumes, The Annals of Applied Statistics, 7, 2361–2383.
- Gueorguieva, R.V., Agresti, A. (2001), A Correlated Probit Model for Joint Modeling of Clustered Binary and Continuous Responses, Journal of the American Statistical Association, 96, 1102–1112.
- Hoff, P.D. (2007), Extending the Rank Likelihood for Semiparametric Copula Estimation, The Annals of Applied Statistics, 1, 265–283.
- Johnson, V.E. (2007), Bayesian Model Assessment Using Pivotal Quantities, Bayesian Analysis, 2, 719–734.
- Johnson, V.E., Deaner, R.O., van Schaik, C.P. (2002), Bayesian Analysis of Rank Data With Application to Primate Intelligence Experiments, Journal of the American Statistical Association, 97, 8–17.
- Johnson, V.E., Rossell, D. (2010), On the Use of Non-local Prior Densities in Bayesian Hypothesis Tests, Journal of the Royal Statistical Society, 72, 143–170.
- Murray, J.S., Dunson, D.B., Carin, L., Lucas, J.E. (2013), Bayesian Gaussian Copula Factor Models for Mixed Data, Journal of the American Statistical Association, 108, 656–665.
- Quinn, K.M. (2004), Bayesian Factor Analysis for Mixed Ordinal and Continuous Responses, Political Analysis, 12, 338–353.
- Shettleworth, S. J. (2010), Cognition, Evolution, and Behavior, Oxford: Oxford University Press.
- Tanner, M.A., Wong, W.H. (1987), The Calculation of Posterior Distributions by Data Augmentation, Journal of the American Statistical Association, 82, 528–540.
- Tomasello, M., and Call, J. (1997), Primate Cognition, Oxford: Oxford University Press.