16 citations · 34 across the 6 of their papers we have counts for
7 papers
Disentangling Causal Mechanisms in Conjoint Experiments Using Mediation
Michaël Aklin, Max Goplerud, Nicole E. Pashley +1
Conjoint experiments provide an attractive way to assess the role of multiple attributes simultaneously on decision-making. However, the randomization of multiple attributes preven…
Multivariate MRP
Max Goplerud, Michael Auslen
Measuring public opinion at subnational geographies is critical to many theories in political science. Multilevel regression and post-stratification (MRP) is a popular tool for doi…
Partially factorized variational inference for high-dimensional mixed models
Max Goplerud, Omiros Papaspiliopoulos, Giacomo Zanella
While generalized linear mixed models are a fundamental tool in applied statistics, many specifications, such as those involving categorical factors with many levels or interaction…
Generalized Kernel Regularized Least Squares
Qing Chang, Max Goplerud
Kernel Regularized Least Squares (KRLS) is a popular method for flexibly estimating models that may have complex relationships between variables. However, its usefulness to many re…
Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis
Max Goplerud, Kosuke Imai, Nicole E. Pashley
Estimation of heterogeneous treatment effects is an active area of research. Most of the existing methods, however, focus on estimating the conditional average treatment effects of…
Modelling Heterogeneity Using Bayesian Structured Sparsity
Max Goplerud
How to estimate heterogeneity, e.g. the effect of some variable differing across observations, is a key question in political science. Methods for doing so make simplifying assumpt…
Fast and Accurate Estimation of Non-Nested Binomial Hierarchical Models Using Variational Inference
Max Goplerud
Non-linear hierarchical models are commonly used in many disciplines. However, inference in the presence of non-nested effects and on large datasets is challenging and computationa…