| An index of assembly dissolution powers M Goplerud, P Schleiter Comparative Political Studies 49 (4), 427-456, 2016 | 67 | 2016 |
| Redistribution without a median voter: Models of multidimensional politics T Iversen, M Goplerud Annual Review of Political Science 21 (1), 295-317, 2018 | 61 | 2018 |
| The first time is (mostly) the charm: Special advisers as parliamentary candidates and members of parliament M Goplerud Parliamentary Affairs 68 (2), 332-351, 2015 | 44 | 2015 |
| Sparse Multilevel Regression (and Poststratification (sMRP)) M Goplerud, S Kuriwaki, M Ratkovic, D Tingley Unpublished manuscript, Harvard University 5, 2018 | 22 | 2018 |
| A Multinomial Framework for Ideal Point Estimation M Goplerud Political Analysis 27 (1), 69-89, 2019 | 20 | 2019 |
| Legislative Bellwethers: The Role of Committee Membership in Parliamentary Debate JM Fernandes, M Goplerud, M Won Legislative Studies Quarterly 44 (2), 307-343, 2019 | 19 | 2019 |
| Fast and Accurate Estimation of Non-Nested Binomial Hierarchical Models Using Variational Inference M Goplerud Bayesian Analysis 17 (2), 623-650, 2022 | 15 | 2022 |
| Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis M Goplerud, K Imai, NE Pashley arXiv preprint arXiv:2201.01357, 2022 | 13 | 2022 |
| Crossing the boundaries: An implementation of two methods for projecting data across boundary changes M Goplerud Political Analysis 24 (1), 121-129, 2016 | 12 | 2016 |
| Who Answers for the Government? Institutional Reform and Ministerial Accountability in Japan M Goplerud, DM Smith American Journal of Political Science 67 (4), 963-978, 2023 | 11* | 2023 |
| Re-evaluating machine learning for MRP given the comparable performance of (deep) hierarchical models M Goplerud American Political Science Review 118 (1), 529-536, 2024 | 5 | 2024 |
| Methods for analyzing parliamentary debates M Goplerud The Politics of Legislative Debates, 72-90, 2021 | 5 | 2021 |
| Modelling Heterogeneity Using Bayesian Structured Sparsity M Goplerud arXiv preprint arXiv:2103.15919, 2021 | 4 | 2021 |
| Generalized Kernel Regularized Least Squares Q Chang, M Goplerud Political Analysis 32 (2), 157-171, 2024 | 3 | 2024 |
| Effective Lawmaking across Congressional Eras FY Chiou, M Goplerud The Journal of Politics 86 (3), 997-1012, 2024 | 1 | 2024 |
| Partially factorized variational inference for high-dimensional mixed models M Goplerud, O Papaspiliopoulos, G Zanella arXiv preprint arXiv:2312.13148, 2023 | 1 | 2023 |
| BARP: Improving Mister P using Bayesian Additive Regression Trees—Corrigendum M Goplerud, J Bisbee American Political Science Review 117 (2), 785-787, 2023 | 1 | 2023 |
| Package ‘vglmer’ M Goplerud | | 2022 |
| Essays on Bayesian Methods and Machine Learning Applied to Political Science MH Goplerud | | 2020 |
| In it to Win It?: New Parties in British Politics Since 1950 M Goplerud University of Oxford, 2015 | | 2015 |
