Lauren Kennedy
Lauren Kennedy
Lecturer,Computer and Mathematical Sciences, University of Adelaide
Verified email at - Homepage
Cited by
Cited by
Bayesian workflow
A Gelman, A Vehtari, D Simpson, CC Margossian, B Carpenter, Y Yao, ...
arXiv preprint arXiv:2011.01808, 2020
Improving multilevel regression and poststratification with structured priors
Y Gao, L Kennedy, D Simpson, A Gelman
Bayesian Analysis 16 (3), 719 - 744, 2021
Quantifying sentence acceptability measures: Reliability, bias, and variability
S Langsford, A Perfors, AT Hendrickson, LA Kennedy, DJ Navarro
Ubiquity Press, 2018
Know your population and know your model: Using model-based regression and poststratification to generalize findings beyond the observed sample.
L Kennedy, A Gelman
Psychological methods 26 (5), 547, 2021
The experiment is just as important as the likelihood in understanding the prior: a cautionary note on robust cognitive modeling
L Kennedy, D Simpson, A Gelman
Computational Brain & Behavior 2, 210-217, 2019
Using sex and gender in survey adjustment
L Kennedy, K Khanna, D Simpson, A Gelman, Y Jia, J Teitler
arXiv preprint arXiv:2009.14401, 2020
Modeling public opinion over time and space: Trust in state institutions in Europe, 1989-2019
M Kołczyńska, PC Bürkner, L Kennedy, A Vehtari
SocArXiv, 2020
Year 15 fragile families survey weight adjustment
LA Kennedy, A Gelman
Fragile Families and Child Wellbeing Study, 2018
Not every credible interval is credible: Evaluating robustness in the presence of contamination in Bayesian data analysis
LA Kennedy, DJ Navarro, A Perfors, N Briggs
Behavior Research Methods 49, 2219-2234, 2017
Causal quartets: Different ways to attain the same average treatment effect
A Gelman, J Hullman, L Kennedy
arXiv preprint arXiv:2302.12878, 2023
Treatment effect estimation with Multilevel Regression and Poststratification
Y Gao, L Kennedy, D Simpson
arXiv preprint arXiv:2102.10003, 2021
Cross-validatory model selection for Bayesian autoregressions with exogenous regressors
A Cooper, D Simpson, L Kennedy, C Forbes, A Vehtari
arXiv preprint arXiv:2301.08276, 2023
The State of Poverty and Disadvantage in New York City
S Collyer, M Maury, L Bushman-Copp, I Garfinkel, L Kennedy, ...
Access here, 2020
The Youngest New Yorkers: The Early Childhood Poverty Tracker
KM Neckerman, J Brooks-Gunn, E Doran, L Kennedy, M Maury, ...
Robin Hood, 2019
The state of poverty and disadvantage in New York City
C Wimer, S Collyer, I Garfinkel, L Kennedy, M Maury, KM Neckerman, ...
Robin Hood, 2018
Using leave-one-out cross-validation (LOO) in a multilevel regression and poststratification (MRP) workflow: A cautionary tale
S Kuh, L Kennedy, Q Chen, A Gelman
arXiv preprint arXiv:2209.01773, 2022
Bayesian cross-validation by parallel Markov Chain Monte Carlo
A Cooper, A Vehtari, C Forbes, L Kennedy, D Simpson
arXiv preprint arXiv:2310.07002, 2023
Improving Survey Inference in Two-phase Designs Using Bayesian Machine Learning
X Wang, L Kennedy, Q Chen
arXiv preprint arXiv:2306.04119, 2023
Statistics Using R: An Integrative Approach
L Kennedy
The Economic Record 97 (317), 317-318, 2021
The importance of incorporating researcher beliefs into statistical models
LA Kennedy
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