Evaluating Bias and Noise Induced by the U.S. Census Bureau's Privacy Protection Methods
Fuente:
arXiv
Saved in:
| Main Authors: | Kenny, Christopher T., McCartan, Cory, Kuriwaki, Shiro, Simko, Tyler, Imai, Kosuke |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
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)
Measuring and Modeling Neighborhoods
by: McCartan, Cory, et al.
Published: (2021)
by: McCartan, Cory, et al.
Published: (2021)
Generalized Sequential Monte Carlo Sampling for Redistricting Simulation
by: O'Sullivan, Philip, et al.
Published: (2026)
by: O'Sullivan, Philip, et al.
Published: (2026)
Redistricting Reforms Reduce Gerrymandering by Constraining Partisan Actors
by: McCartan, Cory, et al.
Published: (2024)
by: McCartan, Cory, et al.
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)
Projective Averages for Summarizing Redistricting Ensembles
by: McCartan, Cory
Published: (2024)
by: McCartan, Cory
Published: (2024)
Identification and Semiparametric Estimation of Conditional Means from Aggregate Data
by: McCartan, Cory, et al.
Published: (2025)
by: McCartan, Cory, et al.
Published: (2025)
Gerrymandering and geographic polarization have reduced electoral competition
by: Jasny, Ethan, et al.
Published: (2025)
by: Jasny, Ethan, et al.
Published: (2025)
Privacy Violations in Election Results
by: Kuriwaki, Shiro, et al.
Published: (2023)
by: Kuriwaki, Shiro, et al.
Published: (2023)
Cast vote records: A database of ballots from the 2020 U.S. Election
by: Kuriwaki, Shiro, et al.
Published: (2024)
by: Kuriwaki, Shiro, et al.
Published: (2024)
Statistical Imaginaries, State Legitimacy: Grappling with the Arrangements Underpinning Quantification in the U.S. Census
by: Sarathy, Jayshree, et al.
Published: (2026)
by: Sarathy, Jayshree, et al.
Published: (2026)
Relative Bias Under Imperfect Identification in Observational Causal Inference
by: Huang, Melody, et al.
Published: (2025)
by: Huang, Melody, et al.
Published: (2025)
HICM: An approach towards Harmonizing Indian Census Migration data and its applications
by: Batra, Nivedita, et al.
Published: (2026)
by: Batra, Nivedita, et al.
Published: (2026)
A Causal Framework to Evaluate Racial Bias in Law Enforcement Systems
by: Han, Jessy Xinyi, et al.
Published: (2024)
by: Han, Jessy Xinyi, et al.
Published: (2024)
Algorithmic Transparency and Participation through the Handoff Lens: Lessons Learned from the U.S. Census Bureau's Adoption of Differential Privacy
by: Abdu, Amina A., et al.
Published: (2024)
by: Abdu, Amina A., et al.
Published: (2024)
Differential Perspectives: Epistemic Disconnects Surrounding the US Census Bureau's Use of Differential Privacy
by: boyd, danah, et al.
Published: (2026)
by: boyd, danah, et al.
Published: (2026)
PanelMatch: Matching Methods for Causal Inference with Time-Series Cross-Section Data
by: Rauh, Adam, et al.
Published: (2025)
by: Rauh, Adam, et al.
Published: (2025)
GenAI Powered Dynamic Causal Inference with Unstructured Data
by: Nakamura, Kentaro, et al.
Published: (2026)
by: Nakamura, Kentaro, 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)
A Simulated Reconstruction and Reidentification Attack on the 2010 U.S. Census
by: Abowd, John M., et al.
Published: (2023)
by: Abowd, John M., et al.
Published: (2023)
Breaking Down the Scoring: Interrater Reliability and National Bias in Olympic Breaking
by: Braeunig, Patrick Alexander
Published: (2025)
by: Braeunig, Patrick Alexander
Published: (2025)
Estimating and Correcting Degree Ratio Bias in the Network Scale-up Method
by: Laga, Ian, et al.
Published: (2023)
by: Laga, Ian, et al.
Published: (2023)
Exploring the interplay between population profile and optimal routes in U.S. cities
by: Ortega, Diego, et al.
Published: (2025)
by: Ortega, Diego, et al.
Published: (2025)
Cities Reconceptualized: Unveiling Hidden Uniform Urban Shape through Commute Flow Modeling in Major US Cities
by: Mishina, Margarita, et al.
Published: (2024)
by: Mishina, Margarita, et al.
Published: (2024)
The Impact of Building-Induced Visibility Restrictions on Intersection Accidents
by: Tian, Hanlin, et al.
Published: (2025)
by: Tian, Hanlin, et al.
Published: (2025)
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)
Mitigating Nonlinear Algorithmic Bias in Binary Classification
by: Hui, Wendy, et al.
Published: (2023)
by: Hui, Wendy, et al.
Published: (2023)
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)
Students Who Work: Are They Paying Too High A Price?
by: McCartan, Anne-Marie
Published: (1988)
by: McCartan, Anne-Marie
Published: (1988)
Design-based inference for generalized network experiments with stochastic interventions
by: Chattopadhyay, Ambarish, et al.
Published: (2023)
by: Chattopadhyay, Ambarish, et al.
Published: (2023)
Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis
by: Goplerud, Max, et al.
Published: (2022)
by: Goplerud, Max, et al.
Published: (2022)
Towards Responsible AI in Banking: Addressing Bias for Fair Decision-Making
by: Castelnovo, Alessandro
Published: (2024)
by: Castelnovo, Alessandro
Published: (2024)
Algorithmic Changes Are Not Enough: Evaluating the Removal of Race Adjustment from the eGFR Equation
by: Cusick, Marika M., et al.
Published: (2024)
by: Cusick, Marika M., et al.
Published: (2024)
A Statistical Model of Bipartite Networks: Application to Cosponsorship in the United States Senate
by: Lo, Adeline, et al.
Published: (2023)
by: Lo, Adeline, et al.
Published: (2023)
Auditing the Fairness of the US COVID-19 Forecast Hub's Case Prediction Models
by: Abrar, Saad Mohammad, et al.
Published: (2024)
by: Abrar, Saad Mohammad, et al.
Published: (2024)
Spatiotemporal causal inference with arbitrary spillover and carryover effects: Airstrikes and insurgent violence in the Iraq War
by: Mukaigawara, Mitsuru, et al.
Published: (2025)
by: Mukaigawara, Mitsuru, et al.
Published: (2025)
Improving Minority Population Sampling with BISG Probabilities: Evidence from a Survey of Jewish Americans
by: Chasalow, Kyla, et al.
Published: (2026)
by: Chasalow, Kyla, et al.
Published: (2026)
Bayesian Safe Policy Learning with Chance Constrained Optimization: Application to Military Security Assessment during the Vietnam War
by: Jia, Zeyang, et al.
Published: (2023)
by: Jia, Zeyang, et al.
Published: (2023)
Similar Items
-
Widespread Partisan Gerrymandering Mostly Cancels Nationally, but Reduces Electoral Competition
by: Kenny, Christopher T., et al.
Published: (2022) -
The Role of Confounders and Linearity in Ecological Inference: A Reassessment
by: Kuriwaki, Shiro, et al.
Published: (2026) -
Measuring and Modeling Neighborhoods
by: McCartan, Cory, et al.
Published: (2021) -
Generalized Sequential Monte Carlo Sampling for Redistricting Simulation
by: O'Sullivan, Philip, et al.
Published: (2026) -
Redistricting Reforms Reduce Gerrymandering by Constraining Partisan Actors
by: McCartan, Cory, et al.
Published: (2024)