Forecasting and subjective probability: Aggregation, evaluation, crowdsourcing
Psychometric measurement: Test/item bias and fairness
Statistical modeling: Estimation, selection, computing
Bayesian latent variables models: R package blavaan
Further information and replication code for my psychometric work can be found here. Note to prospective PhD students for fall 2021: I am unlikely to accept new students for fall 2021.
Full publication list is at http://faculty.missouri.edu/~merklee/
Merkle, E. C., Furr, D., & Rabe-Hesketh, S. (2019). Bayesian comparison of latent variable models: Conditional versus marginal likelihoods. Psychometrika, 84(3), 802–829.
Merkle, E. C. & Rosseel, Y. (2018). blavaan: Bayesian structural equation models via parameter expansion. Journal of Statistical Software, 85(4), 1-30.
Merkle, E. C., You, D., & Preacher, K. J. (2016). Testing non-nested structural equation models. Psychological Methods, 21, 151-163.
Merkle, E. C., Steyvers, M., Mellers, B., & Tetlock, P. E. (2016). Item response models of probability judgments: Application to a geopolitical forecasting tournament. Decision, 3, 1-19.
Smithson, M. & Merkle, E. C. (2013). Generalized linear models for categorical and limited dependent variables. Boca Raton, FL: Chapman & Hall/CRC.