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Max Goplerud
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Year
An index of assembly dissolution powers
M Goplerud, P Schleiter
Comparative Political Studies 49 (4), 427-456, 2016
612016
Redistribution without a median voter: Models of multidimensional politics
T Iversen, M Goplerud
Annual Review of Political Science 21, 295-317, 2018
562018
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
442015
Sparse Multilevel Regression (and Poststratification (sMRP))
M Goplerud, S Kuriwaki, M Ratkovic, D Tingley
Unpublished manuscript, Harvard University 5, 2018
222018
A Multinomial Framework for Ideal Point Estimation
M Goplerud
Political Analysis 27 (1), 69-89, 2019
182019
Legislative Bellwethers: The Role of Committee Membership in Parliamentary Debate
JM Fernandes, M Goplerud, M Won
Legislative Studies Quarterly 44 (2), 307-343, 2019
162019
Fast and Accurate Estimation of Non-Nested Binomial Hierarchical Models Using Variational Inference
M Goplerud
Bayesian Analysis 17 (2), 623-650, 2022
132022
Crossing the boundaries: An implementation of two methods for projecting data across boundary changes
M Goplerud
Political Analysis 24 (1), 121-129, 2016
112016
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
10*2023
Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis
M Goplerud, K Imai, NE Pashley
arXiv preprint arXiv:2201.01357, 2022
102022
Methods for analyzing parliamentary debates
M Goplerud
The Politics of Legislative Debates, 72-90, 2021
52021
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
32024
Modelling Heterogeneity Using Bayesian Structured Sparsity
M Goplerud
arXiv preprint arXiv:2103.15919, 2021
22021
BARP: Improving Mister P using Bayesian Additive Regression Trees—Corrigendum
M Goplerud, J Bisbee
American Political Science Review 117 (2), 785-787, 2023
12023
Effective Lawmaking Across Congressional Eras
FY Chiou, M Goplerud
12023
Generalized Kernel Regularized Least Squares
Q Chang, M Goplerud
Political Analysis 32 (2), 157-171, 2024
2024
Partially factorized variational inference for high-dimensional mixed models
M Goplerud, O Papaspiliopoulos, G Zanella
arXiv preprint arXiv:2312.13148, 2023
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
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