Bayesian workflow A Gelman, A Vehtari, D Simpson, CC Margossian, B Carpenter, Y Yao, ... arXiv preprint arXiv:2011.01808, 2020 | 334 | 2020 |
Improving multilevel regression and poststratification with structured priors Y Gao, L Kennedy, D Simpson, A Gelman Bayesian Analysis 16 (3), 719 - 744, 2021 | 52 | 2021 |
Quantifying sentence acceptability measures: Reliability, bias, and variability S Langsford, A Perfors, AT Hendrickson, LA Kennedy, DJ Navarro Glossa: a journal of general linguistics 3 (1), 1-34, 2018 | 48 | 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 | 34 | 2021 |
Know your population and know your model: Using model-based regression and poststratification to generalize findings beyond the observed sample L Kennedy, A Gelman arXiv preprint arXiv:1906.11323, 2019 | 20 | 2019 |
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 | 18 | 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 | 16* | 2020 |
Modeling public opinion over time and space: Trust in state institutions in Europe, 1989-2019 M Kołczyńska, PC Bürkner, L Kennedy, A Vehtari Survey Research Methods 18 (1), 1-19, 2024 | 15* | 2024 |
Year 15 fragile families survey weight adjustment LA Kennedy, A Gelman Fragile Families and Child Wellbeing Study, 2018 | 13 | 2018 |
Causal quartets: Different ways to attain the same average treatment effect A Gelman, J Hullman, L Kennedy The American Statistician, 1-6, 2023 | 8 | 2023 |
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 | 7 | 2017 |
Bayesian Workflow. arXiv: 2011.01808 A Gelman, A Vehtari, D Simpson, CC Margossian, B Carpenter, Y Yao, ... | 5 | 2020 |
Treatment effect estimation with Multilevel Regression and Poststratification Y Gao, L Kennedy, D Simpson arXiv preprint arXiv:2102.10003, 2021 | 4 | 2021 |
Using leaveoneout cross validation (LOO) in a multilevel regression and poststratification (MRP) workflow: A cautionary tale S Kuh, L Kennedy, Q Chen, A Gelman Statistics in Medicine 43 (5), 953-982, 2024 | 3 | 2024 |
Crossvalidatory model selection for Bayesian autoregressions with exogenous regressors A Cooper, D Simpson, L Kennedy, C Forbes, A Vehtari arXiv preprint arXiv:2301.08276, 2023 | 3 | 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 | 2 | 2020 |
The Youngest New Yorkers: The Early Childhood Poverty Tracker KM Neckerman, J Brooks-Gunn, E Doran, L Kennedy, M Maury, ... Robin Hood, 2019 | 2 | 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 | 2 | 2018 |
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 | 1 | 2023 |
ALFA Lab Study Final Report. J Schoeneberger, X Zhang, S Spinney, J Sun, L Kennedy, S Rajesh Syal Grantee Submission, 2023 | 1 | 2023 |