Saved in:
| Main Authors: | Jasny, Ethan, Kenny, Christopher T., McCartan, Cory, Simko, Tyler, Wu, Melissa, Zhao, Michael Y., Arora, Aneetej, Ebowe, Emma, O'Sullivan, Philip, Samarth, Taran, Imai, Kosuke |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.15885 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Redistricting Reforms Reduce Gerrymandering by Constraining Partisan Actors
by: McCartan, Cory, et al.
Published: (2024)
by: McCartan, Cory, et al.
Published: (2024)
Widespread Partisan Gerrymandering Mostly Cancels Nationally, but Reduces Electoral Competition
by: Kenny, Christopher T., et al.
Published: (2022)
by: Kenny, Christopher T., et al.
Published: (2022)
Evaluating Bias and Noise Induced by the U.S. Census Bureau's Privacy Protection Methods
by: Kenny, Christopher T., et al.
Published: (2023)
by: Kenny, Christopher T., et al.
Published: (2023)
Generalized Sequential Monte Carlo Sampling for Redistricting Simulation
by: O'Sullivan, Philip, et al.
Published: (2026)
by: O'Sullivan, Philip, et al.
Published: (2026)
Measuring and Modeling Neighborhoods
by: McCartan, Cory, et al.
Published: (2021)
by: McCartan, Cory, et al.
Published: (2021)
Projective Averages for Summarizing Redistricting Ensembles
by: McCartan, Cory
Published: (2024)
by: McCartan, Cory
Published: (2024)
Finding Pareto Efficient Redistricting Plans with Short Bursts
by: McCartan, Cory
Published: (2023)
by: McCartan, Cory
Published: (2023)
Estimating Racial Disparities When Race is Not Observed
by: McCartan, Cory, et al.
Published: (2023)
by: McCartan, Cory, et al.
Published: (2023)
Identification and Semiparametric Estimation of Conditional Means from Aggregate Data
by: McCartan, Cory, et al.
Published: (2025)
by: McCartan, Cory, et al.
Published: (2025)
Relative Bias Under Imperfect Identification in Observational Causal Inference
by: Huang, Melody, et al.
Published: (2025)
by: Huang, Melody, et al.
Published: (2025)
The Role of Confounders and Linearity in Ecological Inference: A Reassessment
by: Kuriwaki, Shiro, et al.
Published: (2026)
by: Kuriwaki, Shiro, et al.
Published: (2026)
Use of IT in a Postgraduate Distance Learning Course: Part 1: Students' Experiences.
by: McCartan, Audrey
Published: (2000)
by: McCartan, Audrey
Published: (2000)
Students Who Work: Are They Paying Too High A Price?
by: McCartan, Anne-Marie
Published: (1988)
by: McCartan, Anne-Marie
Published: (1988)
How do we build effective online student communities?
by: Fee, Kathryn, et al.
Published: (2021)
by: Fee, Kathryn, et al.
Published: (2021)
Testing the factor structure of the International Trauma Questionnaire in a sample of violence‐exposed women living in Northern Ireland
by: Marcin Owczarek, et al.
Published: (2026)
by: Marcin Owczarek, et al.
Published: (2026)
Gerrymandering Planar Graphs
by: Dippel, Jack, et al.
Published: (2023)
by: Dippel, Jack, et al.
Published: (2023)
Tabling Debate: How Local Officials Try to Use Agenda Control to Stifle Conflict
by: Mirya R. Holman, et al.
Published: (2025)
by: Mirya R. Holman, et al.
Published: (2025)
From Hospital to Home: Applying a Co‐Design Approach to Determine the Key Components of an Intervention to Support Transition‐To‐Home After Stroke
by: Geraldine O'Callaghan, et al.
Published: (2024)
by: Geraldine O'Callaghan, et al.
Published: (2024)
Homological algebra / by Henri Cartan and Samuel Eilenberg
by: Cartan, Henri
by: Cartan, Henri
Asymmetries in Potential for Partisan Gerrymandering
by: Nicholas Goedert, et al.
Published: (2024)
by: Nicholas Goedert, et al.
Published: (2024)
Monkey Business
by: O'Sullivan, Connie, et al.
Published: (2005)
by: O'Sullivan, Connie, et al.
Published: (2005)
Partisan Gerrymandering and the Construction of American Democracy
by: Engstrom, Erik J.
Published: (2021)
by: Engstrom, Erik J.
Published: (2021)
Partisan Gerrymandering and the Construction of American Democracy
by: Engstrom, Erik J.
Published: (2018)
by: Engstrom, Erik J.
Published: (2018)
Partisan Gerrymandering and the Construction of American Democracy
by: Engstrom, Erik J.
Published: (2026)
by: Engstrom, Erik J.
Published: (2026)
GenAI-Powered Inference
by: Imai, Kosuke, et al.
Published: (2025)
by: Imai, Kosuke, et al.
Published: (2025)
Individualized Policy Evaluation and Learning under Clustered Network Interference
by: Zhang, Yi, et al.
Published: (2023)
by: Zhang, Yi, et al.
Published: (2023)
Causal Representation Learning with Generative Artificial Intelligence: Application to Texts as Treatments
by: Imai, Kosuke, et al.
Published: (2024)
by: Imai, Kosuke, et al.
Published: (2024)
Statistical Decision Theory with Counterfactual Loss
by: Koch, Benedikt, et al.
Published: (2025)
by: Koch, Benedikt, et al.
Published: (2025)
Using Embedding Models to Improve Probabilistic Race Prediction
by: Dasanaike, Noah, et al.
Published: (2026)
by: Dasanaike, Noah, et al.
Published: (2026)
GenAI Powered Dynamic Causal Inference with Unstructured Data
by: Nakamura, Kentaro, et al.
Published: (2026)
by: Nakamura, Kentaro, et al.
Published: (2026)
Estimating Average Treatment Effects With Support Vector Machines
by: Alexander Tarr, et al.
Published: (2025)
by: Alexander Tarr, et al.
Published: (2025)
Bespoke OLAP: Synthesizing Workload-Specific One-size-fits-one Database Engines
by: Wehrstein, Johannes, et al.
Published: (2026)
by: Wehrstein, Johannes, et al.
Published: (2026)
States of Disarray: Cleaning Data for Gerrymandering Analysis
by: Agarwal, Ananya, et al.
Published: (2025)
by: Agarwal, Ananya, et al.
Published: (2025)
Don't Trust A Single Gerrymandering Metric
by: Ratliff, Thomas, et al.
Published: (2024)
by: Ratliff, Thomas, et al.
Published: (2024)
Comment on "Generic machine learning inference on heterogeneous treatment effects in randomized experiments."
by: Imai, Kosuke, et al.
Published: (2025)
by: Imai, Kosuke, et al.
Published: (2025)
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
by: Imai, Kosuke, et al.
Published: (2022)
by: Imai, Kosuke, et al.
Published: (2022)
Statistical Performance Guarantee for Subgroup Identification with Generic Machine Learning
by: Li, Michael Lingzhi, et al.
Published: (2023)
by: Li, Michael Lingzhi, et al.
Published: (2023)
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules
by: Li, Michael Lingzhi, et al.
Published: (2024)
by: Li, Michael Lingzhi, et al.
Published: (2024)
Measuring and reducing the impact of corruption in infrastructure / Charles Kenny
by: Kenny, Charles
Published: (2006)
by: Kenny, Charles
Published: (2006)
The Gerrymandered Union: Electoral Geographies and the Limits of Supranational Sovereignty
by: Revista, Zen, et al.
Published: (2025)
by: Revista, Zen, et al.
Published: (2025)
Similar Items
-
Redistricting Reforms Reduce Gerrymandering by Constraining Partisan Actors
by: McCartan, Cory, et al.
Published: (2024) -
Widespread Partisan Gerrymandering Mostly Cancels Nationally, but Reduces Electoral Competition
by: Kenny, Christopher T., et al.
Published: (2022) -
Evaluating Bias and Noise Induced by the U.S. Census Bureau's Privacy Protection Methods
by: Kenny, Christopher T., et al.
Published: (2023) -
Generalized Sequential Monte Carlo Sampling for Redistricting Simulation
by: O'Sullivan, Philip, et al.
Published: (2026) -
Measuring and Modeling Neighborhoods
by: McCartan, Cory, et al.
Published: (2021)