Justin Grimmer

发表

Dynamic Stochastic Learning in Regulatory Optimization: Deadlines and Error with Continuous and Discrete Evidence

Daniel Carpenter, Justin Grimmer, 2007 .

The representative's problem: how legislators use communication to secure constituent support

Justin Grimmer, 2013, PLEAD '13.

Creating and Destroying Party Brands

Justin Grimmer, Justin Grimmer, 2014, LTCSS@ACL.

General purpose computer-assisted clustering and conceptualization

Gary King, Justin Grimmer, Justin Grimmer, 2011, Proceedings of the National Academy of Sciences.

Naïve regression requires weaker assumptions than factor models to adjust for multiple cause confounding pdf

Justin Grimmer, Brandon M. Stewart, Dean Knox, 2020, ArXiv.

TopicCheck: Interactive Alignment for Assessing Topic Model Stability

Jeffrey Heer, Margaret E. Roberts, Jason Chuang, 2015, NAACL.

A Bayesian Hierarchical Topic Model for Political Texts: Measuring Expressed Agendas in Senate Press Releases

Justin Grimmer, Justin Grimmer, 2010, Political Analysis.

Quantitative Discovery from Qualitative Information: A General-Purpose Document Clustering Methodology

Gary King, Justin Grimmer, Justin Grimmer, 2009 .

Measuring Representational Style in the House: The Tea Party, Obama, and Legislators' Changing Expressed Priorities

Justin Grimmer, Justin Grimmer, 2016, Computational Social Science.

Representation Inside and Outside Congress

Justin Grimmer, 2013 .

The Unreliability of Measures of Intercoder Reliability , and What to do About it

Gary King, Justin Grimmer, Chiara Superti, 2015 .

Discovery of Treatments from Text Corpora

Justin Grimmer, Christian Fong, Justin Grimmer, 2016, ACL.

9. Text as Data: Methods Appendix

Justin Grimmer, Solomon Messing, Sean J. Westwood, 2014 .

Estimating Heterogeneous Treatment Effects and the Effects of Heterogeneous Treatments with Ensemble Methods

Justin Grimmer, Sean J. Westwood, Solomon Messing, 2017, Political Analysis.

How to make causal inferences using texts pdf

Margaret E. Roberts, Justin Grimmer, Brandon M. Stewart, 2018, Science advances.

2. Solving the Representative’s Problem and Creating the Representative’s Opportunity

Justin Grimmer, Sean J. Westwood, Solomon Messing, 2014 .

Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond pdf

Katherine A. Keith, Jacob Eisenstein, Dhanya Sridhar, 2021, ArXiv.

The Impression of Influence: Legislator Communication, Representation, and Democratic Accountability

Justin Grimmer, Solomon Messing, Sean J. Westwood, 2014 .

Are Close Elections Random

Justin Grimmer, Daniel Carpenter, Justin Grimmer, 2011 .

Causal Inference with Latent Treatments

Justin Grimmer, Christian Fong, Justin Grimmer, 2021, American Journal of Political Science.

We Are All Social Scientists Now: How Big Data, Machine Learning, and Causal Inference Work Together

Justin Grimmer, Justin Grimmer, 2014, PS: Political Science & Politics.

Appropriators not Position Takers: The Distorting Effects of Electoral Incentives on Congressional Representation

Justin Grimmer, Justin Grimmer, 2013 .