Transfer Learning Between U.S. Presidential Elections: How Should We Learn From A 2020 Ad Campaign To Inform 2024 Ad Campaigns?
Fuente:
arXiv
Saved in:
| Main Authors: | Miao, Xinran, Zhao, Jiwei, Kang, Hyunseung |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SLOPE and Designing Robust Studies for Generalization
by: Miao, Xinran, et al.
Published: (2025)
by: Miao, Xinran, et al.
Published: (2025)
Propensity Score Matching: Should We Use It in Designing Observational Studies?
by: Wan, Fei
Published: (2024)
by: Wan, Fei
Published: (2024)
Counterfactual Slopes and Their Applications in Social Stratification
by: Yu, Ang, et al.
Published: (2024)
by: Yu, Ang, et al.
Published: (2024)
When Audits and Recounts Distract from Election Integrity: The 2020 U.S. Presidential Election in Georgia
by: Stark, Philip B.
Published: (2024)
by: Stark, Philip B.
Published: (2024)
Identification and Inference with Invalid Instruments
by: Kang, Hyunseung, et al.
Published: (2024)
by: Kang, Hyunseung, et al.
Published: (2024)
A Universal Framework for Factorial Matched Observational Studies with General Treatment Types: Design, Analysis, and Applications
by: Zhu, Jianan, et al.
Published: (2025)
by: Zhu, Jianan, et al.
Published: (2025)
Transfer Learning for Spatial Autoregressive Models with Application to U.S. Presidential Election Prediction
by: Zeng, Hao, et al.
Published: (2024)
by: Zeng, Hao, et al.
Published: (2024)
Stable Survival Extrapolation via Transfer Learning
by: Apsemidis, Anastasios, et al.
Published: (2024)
by: Apsemidis, Anastasios, et al.
Published: (2024)
How Untested Modeling Assumptions Influence the U.S. EPA's Estimates of Population-Level Ozone Exposure Risk
by: Glasgow, Garrett, et al.
Published: (2025)
by: Glasgow, Garrett, et al.
Published: (2025)
Sensitivity Analysis for Quantiles of Hidden Biases in Matched Observational Studies
by: Wu, Dongxiao, et al.
Published: (2023)
by: Wu, Dongxiao, et al.
Published: (2023)
Bayesian Image-on-Image Regression via Deep Kernel Learning based Gaussian Processes
by: Ma, Guoxuan, et al.
Published: (2023)
by: Ma, Guoxuan, et al.
Published: (2023)
The role of randomization inference in unraveling individual treatment effects in early phase vaccine trials
by: Chen, Zhe, et al.
Published: (2023)
by: Chen, Zhe, et al.
Published: (2023)
Finite-Sample Valid Randomization Tests for Monotone Spillover Effects
by: Huang, Shunzhuang, et al.
Published: (2025)
by: Huang, Shunzhuang, et al.
Published: (2025)
Quantifying How Much Has Been Learned from a Research Study
by: Mikhaeil, Jonas M., et al.
Published: (2025)
by: Mikhaeil, Jonas M., et al.
Published: (2025)
Randomization Tests for Distributions of Individual Treatment Effects via Combined Rank Statistics
by: Kim, David, et al.
Published: (2026)
by: Kim, David, et al.
Published: (2026)
Design-based nested instrumental variable analysis
by: Chen, Zhe, et al.
Published: (2025)
by: Chen, Zhe, et al.
Published: (2025)
Heterogeneous Transfer Learning for Building High-Dimensional Generalized Linear Models with Disparate Datasets
by: Zhao, Ruzhang, et al.
Published: (2023)
by: Zhao, Ruzhang, et al.
Published: (2023)
Post-2024 U.S. Presidential Election Analysis of Election and Poll Data: Real-life Validation of Prediction via Small Area Estimation and Uncertainty Quantification
by: Zheng, Zheshi, et al.
Published: (2025)
by: Zheng, Zheshi, et al.
Published: (2025)
Bayesian Transfer Learning for High-Dimensional Linear Regression via Adaptive Shrinkage
by: Jamshidian, Parsa, et al.
Published: (2025)
by: Jamshidian, Parsa, et al.
Published: (2025)
Learning Fair Decisions with Factor Models: Applications to Annuity Pricing
by: Huang, Fei, et al.
Published: (2024)
by: Huang, Fei, et al.
Published: (2024)
A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation
by: Song, Xinran, et al.
Published: (2025)
by: Song, Xinran, et al.
Published: (2025)
Space-time extremes of severe US thunderstorm environments
by: Koh, Jonathan, et al.
Published: (2022)
by: Koh, Jonathan, et al.
Published: (2022)
Interpreting Net Survival: What We Estimate Versus What We Think We Estimate
by: Smith, Matthew J.
Published: (2026)
by: Smith, Matthew J.
Published: (2026)
Learning Interactions Between Continuous Treatments and Covariates with a Semiparametric Model
by: Jiang, Muyan, et al.
Published: (2025)
by: Jiang, Muyan, et al.
Published: (2025)
NIRVAR: Network Informed Restricted Vector Autoregression
by: Martin, Brendan, et al.
Published: (2024)
by: Martin, Brendan, et al.
Published: (2024)
General Form Moment-based Estimator of Weibull, Gamma, and Log-normal Distributions
by: Liu, Kang
Published: (2025)
by: Liu, Kang
Published: (2025)
Functional Clustering for Longitudinal Associations between Social Determinants of Health and Stroke Mortality in the US
by: Luo, Fangzhi, et al.
Published: (2024)
by: Luo, Fangzhi, et al.
Published: (2024)
Breaking the Balance: Asymmetric Negative Voting in the 2020 Presidential Election
by: Zheng, Bang Quan
Published: (2025)
by: Zheng, Bang Quan
Published: (2025)
How to rank imputation methods?
by: Näf, Jeffrey, et al.
Published: (2025)
by: Näf, Jeffrey, et al.
Published: (2025)
A Functional Approach to Testing Overall Effect of Interaction Between DNA Methylation and SNPs
by: Gansou, Yvelin, et al.
Published: (2025)
by: Gansou, Yvelin, et al.
Published: (2025)
Gradient boosted multi-population mortality modelling with high-frequency data
by: Miao, Ziting, et al.
Published: (2025)
by: Miao, Ziting, et al.
Published: (2025)
The Difference Between "Replicable" and "Not replicable" is not Itself Scientifically Replicable
by: Devezer, Berna, et al.
Published: (2026)
by: Devezer, Berna, et al.
Published: (2026)
Community Correlations and Testing Independence Between Binary Graphs
by: Shen, Cencheng, et al.
Published: (2019)
by: Shen, Cencheng, et al.
Published: (2019)
Treatment Effect Learning Under Sequential Randomization
by: Friedberg, Rina, et al.
Published: (2025)
by: Friedberg, Rina, et al.
Published: (2025)
How long should a block be?
by: Belzile, Léo R., et al.
Published: (2026)
by: Belzile, Léo R., et al.
Published: (2026)
Establishing the Parallels and Differences Between Right-Censored and Missing Covariates
by: Vazquez, Jesus E., et al.
Published: (2024)
by: Vazquez, Jesus E., et al.
Published: (2024)
Two-stage MCMC for Fast Bayesian Inference of Large Spatio-temporal Ordinal Data, with Application to US Drought
by: Hepler, Staci, et al.
Published: (2025)
by: Hepler, Staci, et al.
Published: (2025)
A Transfer Learning Causal Approach to Evaluate Racial/Ethnic and Geographic Variation in Outcomes Following Congenital Heart Surgery
by: Han, Larry, et al.
Published: (2024)
by: Han, Larry, et al.
Published: (2024)
Signature-Informed Selection Detection: A Novel Method for Multi-Locus Temporal Population Genetic Model with Recombination
by: Dutta, Ritabrata, et al.
Published: (2025)
by: Dutta, Ritabrata, et al.
Published: (2025)
How Ominous is the Premonition of Future Global Warming?
by: Chatterjee, Debashis, et al.
Published: (2020)
by: Chatterjee, Debashis, et al.
Published: (2020)
Similar Items
-
SLOPE and Designing Robust Studies for Generalization
by: Miao, Xinran, et al.
Published: (2025) -
Propensity Score Matching: Should We Use It in Designing Observational Studies?
by: Wan, Fei
Published: (2024) -
Counterfactual Slopes and Their Applications in Social Stratification
by: Yu, Ang, et al.
Published: (2024) -
When Audits and Recounts Distract from Election Integrity: The 2020 U.S. Presidential Election in Georgia
by: Stark, Philip B.
Published: (2024) -
Identification and Inference with Invalid Instruments
by: Kang, Hyunseung, et al.
Published: (2024)