Peer reviewed research

Kennedy, L. A., Simpson, D & Gelman, A. (2019) The experiment is just as important as thelikelihood in understanding the prior: A cautionary note on robust cognitive modelling. (Accepted, Computational Brain & Behavior)

Langsford, S., Perfors, A., Hendrickson, A. T., Kennedy, L. A. & Navarro, D. J. (2018), Quantifying sentence acceptability measures: Reliability, bias and variability.Glossa: A Journal of GeneralLinguistics.

Kennedy, L. A., Navarro, D. J., Perfors, A. & Briggs, N. (2017), Not every credible intervalis credible: Evaluating robustness in the presence of contamination in Bayesian data analysis.Behavior Research Methods, 49(6), 2219-2234

Preprints

Kennedy, L. A. & Gelman, A. (in preparation). Know your population and know your model: Using model-based regression and poststratification to generalize findings beyond the observed sample.

Gao, Y., Kennedy, L. A., Simpson, D. & Gelman, A. (in preparation). Improving multilevel regression and poststratification with structured priors