Saved in:
| Main Author: | Liu, Carol |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.11951 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Stable Time Series Prediction of Enterprise Carbon Emissions Based on Causal Inference
by: Hong, Zitao, et al.
Published: (2026)
by: Hong, Zitao, et al.
Published: (2026)
On Robust Inference in Time Series Regression
by: Baillie, Richard T., et al.
Published: (2022)
by: Baillie, Richard T., et al.
Published: (2022)
Bayesian Double Machine Learning for Causal Inference
by: DiTraglia, Francis J., et al.
Published: (2025)
by: DiTraglia, Francis J., et al.
Published: (2025)
Causal Inference with Groupwise Matching
by: Rincón, Ratzanyel, et al.
Published: (2025)
by: Rincón, Ratzanyel, et al.
Published: (2025)
Causal Inference for Aggregated Treatment
by: Caetano, Carolina, et al.
Published: (2025)
by: Caetano, Carolina, et al.
Published: (2025)
Causal Inference for Qualitative Outcomes
by: Di Francesco, Riccardo, et al.
Published: (2025)
by: Di Francesco, Riccardo, et al.
Published: (2025)
Moderating the Mediation Bootstrap for Causal Inference
by: van Garderen, Kees Jan, et al.
Published: (2024)
by: van Garderen, Kees Jan, et al.
Published: (2024)
Multi-Band Variable-Lag Granger Causality: A Unified Framework for Causal Time Series Inference across Frequencies
by: Sookkongwaree, Chakattrai, et al.
Published: (2025)
by: Sookkongwaree, Chakattrai, et al.
Published: (2025)
Causal Inference for Spatial Treatments
by: Pollmann, Michael
Published: (2020)
by: Pollmann, Michael
Published: (2020)
Fixed-Population Causal Inference for Models of Equilibrium
by: Menzel, Konrad
Published: (2025)
by: Menzel, Konrad
Published: (2025)
BayesSRW: Bayesian Sampling and Re-weighting approach for variance reduction
by: Liu, Carol
Published: (2024)
by: Liu, Carol
Published: (2024)
Long-Term Causal Inference with Many Noisy Proxies
by: Lal, Apoorva, et al.
Published: (2026)
by: Lal, Apoorva, et al.
Published: (2026)
Causal Inference under Interference through Designed Markets
by: Munro, Evan
Published: (2025)
by: Munro, Evan
Published: (2025)
Identifying Elasticities in Autocorrelated Time Series Using Causal Graphs
by: Tiedemann, Silvana, et al.
Published: (2024)
by: Tiedemann, Silvana, et al.
Published: (2024)
Self-Normalized Inference in (Quantile, Expected Shortfall) Regressions for Time Series
by: Hoga, Yannick, et al.
Published: (2025)
by: Hoga, Yannick, et al.
Published: (2025)
Methodological Foundations of Modern Causal Inference in Social Science Research
by: Pan, Guanghui
Published: (2024)
by: Pan, Guanghui
Published: (2024)
Causal Inference in Counterbalanced Within-Subjects Designs
by: Ho, Justin, et al.
Published: (2025)
by: Ho, Justin, et al.
Published: (2025)
On Local Overidentification and Efficiency Gains in Modern Causal Inference and Data Combination
by: Chen, Xiaohong, et al.
Published: (2025)
by: Chen, Xiaohong, et al.
Published: (2025)
Causal Inference in High-Dimensional Generalized Linear Models with Binary Outcomes
by: Kong, Jing
Published: (2025)
by: Kong, Jing
Published: (2025)
Estimation and Inference for Causal Functions with Multiway Clustered Data
by: Liu, Nan, et al.
Published: (2024)
by: Liu, Nan, et al.
Published: (2024)
Experimental Design For Causal Inference Through An Optimization Lens
by: Zhao, Jinglong
Published: (2024)
by: Zhao, Jinglong
Published: (2024)
Non-parametric Causal Inference in Dynamic Thresholding Designs
by: Ghosh, Aditya, et al.
Published: (2025)
by: Ghosh, Aditya, et al.
Published: (2025)
Counterfactual and Synthetic Control Method: Causal Inference with Instrumented Principal Component Analysis
by: Wang, Cong
Published: (2024)
by: Wang, Cong
Published: (2024)
Dimension Reduction for Conditional Density Estimation with Applications to High-Dimensional Causal Inference
by: Mei, Jianhua, et al.
Published: (2025)
by: Mei, Jianhua, et al.
Published: (2025)
Double Machine Learning for Time Series
by: Ciganovic, Milos, et al.
Published: (2026)
by: Ciganovic, Milos, et al.
Published: (2026)
Regularizing Extrapolation in Causal Inference
by: Arbour, David, et al.
Published: (2025)
by: Arbour, David, 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)
Graph Neural Networks for Causal Inference Under Network Confounding
by: Leung, Michael P., et al.
Published: (2022)
by: Leung, Michael P., et al.
Published: (2022)
Beyond Parallel Trends: An Identification-Strategy-Robust Approach to Causal Inference with Panel Data
by: Callaway, Brantly, et al.
Published: (2025)
by: Callaway, Brantly, et al.
Published: (2025)
Making Event Study Plots Honest: A Functional Data Approach to Causal Inference
by: Fang, Chencheng, et al.
Published: (2025)
by: Fang, Chencheng, et al.
Published: (2025)
A Projection-Based ARIMA Framework for Nonlinear Dynamics in Macroeconomic and Financial Time Series: Closed-Form Estimation and Rolling-Window Inference
by: Liu, Haojie, et al.
Published: (2025)
by: Liu, Haojie, et al.
Published: (2025)
Forecasting Algorithms for Causal Inference with Panel Data
by: Goldin, Jacob, et al.
Published: (2022)
by: Goldin, Jacob, et al.
Published: (2022)
P-CRE-DML: A Novel Approach for Causal Inference in Non-Linear Panel Data
by: Sharma, Amarendra
Published: (2025)
by: Sharma, Amarendra
Published: (2025)
Sparse VARs Do Not Imply Sparse Local Projections: Robust Inference for High-Dimensional Granger Causality
by: Dettaa, Eugene, et al.
Published: (2024)
by: Dettaa, Eugene, et al.
Published: (2024)
Policy Choice in Time Series by Empirical Welfare Maximization
by: Kitagawa, Toru, et al.
Published: (2022)
by: Kitagawa, Toru, et al.
Published: (2022)
Dynamic Local Average Treatment Effects in Time Series
by: Casini, Alessandro, et al.
Published: (2025)
by: Casini, Alessandro, et al.
Published: (2025)
Localized Neural Network Modelling of Time Series: A Case Study on US Monetary Policy
by: Gao, Jiti, et al.
Published: (2023)
by: Gao, Jiti, et al.
Published: (2023)
Neighborhood Adaptive Estimators for Causal Inference under Network Interference
by: Belloni, Alexandre, et al.
Published: (2022)
by: Belloni, Alexandre, et al.
Published: (2022)
Applied Causal Inference Powered by ML and AI
by: Chernozhukov, Victor, et al.
Published: (2024)
by: Chernozhukov, Victor, et al.
Published: (2024)
Sparse Interval-valued Time Series Modeling with Machine Learning
by: Bao, Haowen, et al.
Published: (2024)
by: Bao, Haowen, et al.
Published: (2024)
Similar Items
-
Stable Time Series Prediction of Enterprise Carbon Emissions Based on Causal Inference
by: Hong, Zitao, et al.
Published: (2026) -
On Robust Inference in Time Series Regression
by: Baillie, Richard T., et al.
Published: (2022) -
Bayesian Double Machine Learning for Causal Inference
by: DiTraglia, Francis J., et al.
Published: (2025) -
Causal Inference with Groupwise Matching
by: Rincón, Ratzanyel, et al.
Published: (2025) -
Causal Inference for Aggregated Treatment
by: Caetano, Carolina, et al.
Published: (2025)