Publications

Yehu Chen, Annamaria Prati, Jacob M. Montgomery, Roman Garnett (2023). Inferring Time-varying Treatment Effects in Panel Data via Multi-Task Gaussian Processes. Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AIStats).

JBrandon Duck-Mayr, Jacob M. Montgomery (2023). Ends Against the Middle: Measuring Latent Traits When Opposites Respond the Same Way for Antithetical Reasons. Political Analysis, 31(4), 606-625.

Luwei Ying, Jacob M. Montgomery, Brandon M. Stewart (2022). Topics, Concepts, and Measurement: A Crowdsourced Procedure for Validating Topics as Measures. Political Analysis, 30(4), 570-589.

Yehu Chen, Roman Garnett, Jacob M. Montgomery (2022). Polls, Context, and Time: A Dynamic Bayesian Forecasting Model for US Senate Elections. Political Analysis, 30(2), 236-249.

Jacob M. Montgomery, Min Hee Seo (2022). Closeness and Strategic Participation: Does the Closeness of the U.S. Presidential Election Shape Where College Students Register to Vote?. Journal of Politics, 84(2), 1250-1255.

Jacob M. Montgomery, Erin L. Rossiter (2022). Adaptive Inventories: A Practical Guide for Applied Researchers. Cambridge University Press.

Benjamin Lyons, Jacob M. Montgomery, Andrew M. Guess, Brendan Nyhan, Jason Reifler (2021). Overconfidence in News Judgments is Associated with False News Susceptibility. Proceedings of the National Academy of Sciences, 118(23), e2019527118.

Taishi Muraoka, Jacob M. Montgomery, Christopher Lucas, Margit Tavits (2021). Love and Anger in Global Party Politics: Facebook Reactions to Political Party Posts in 79 Democracies. Journal of Quantitative Description: Digital Media, 1, 1-38.

Jacob M. Montgomery, Erin L. Rossiter (2020). So Many Questions, So Little Time: Adaptive Personality Inventories for Survey Research. Journal of Survey Statistics and Methodology, 8(4), 667-690.

JBrandon Duck-Mayr, Roman Garnett, Jacob M. Montgomery (2020). GPIRT: A Gaussian Process Model for Item Response Theory. Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI).