How Much Does Home Field Advantage Matter in Soccer Games? A Causal Inference Approach for English Premier League Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Chen, Price, Katherine, Cai, Hengrui, Shen, Weining, Cai, Zhanrui, Hu, Guanyu |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Time-Varying Home Field Advantage in Football: Learning from a Non-Stationary Causal Process
by: Qi, Minhao, et al.
Published: (2025)
by: Qi, Minhao, et al.
Published: (2025)
How do the professional players select their shot locations? An analysis of Field Goal Attempts via Bayesian Additive Regression Trees
by: Cao, Jiahao, et al.
Published: (2025)
by: Cao, Jiahao, et al.
Published: (2025)
What Influences the Field Goal Attempts of Professional Players? Analysis of Basketball Shot Charts via Log Gaussian Cox Processes with Spatially Varying Coefficients
by: Cao, Jiahao, et al.
Published: (2025)
by: Cao, Jiahao, 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)
What is Overlap Weighting, How Has it Evolved, and When to Use It for Causal Inference?
by: Lu, Haidong, et al.
Published: (2026)
by: Lu, Haidong, et al.
Published: (2026)
Are Made and Missed Different? An analysis of Field Goal Attempts of Professional Basketball Players via Depth Based Testing Procedure
by: Qi, Kai, et al.
Published: (2024)
by: Qi, Kai, et al.
Published: (2024)
Forest Kernel Balancing Weights: Outcome-Guided Features for Causal Inference
by: Shen, Andy A., et al.
Published: (2025)
by: Shen, Andy A., et al.
Published: (2025)
Causal Inference for Circular Data
by: Wu, Kuan-Hsun
Published: (2025)
by: Wu, Kuan-Hsun
Published: (2025)
Estimation and Inference for Causal Explainability
by: Zhang, Weihan, et al.
Published: (2025)
by: Zhang, Weihan, et al.
Published: (2025)
How Much Is Too Much? Adaptive, Context-Aware Risk Detection in Naturalistic Driving
by: Kalantari, Amir Hossein, et al.
Published: (2025)
by: Kalantari, Amir Hossein, et al.
Published: (2025)
Mendelian Randomization Methods for Causal Inference: Estimands, Identification and Inference
by: Yao, Minhao, et al.
Published: (2025)
by: Yao, Minhao, et al.
Published: (2025)
Causal Inference in Genetic Trio Studies
by: Bates, Stephen, et al.
Published: (2020)
by: Bates, Stephen, et al.
Published: (2020)
Longitudinal Causal Inference with Selective Eligibility
by: Jiang, Zhichao, et al.
Published: (2024)
by: Jiang, Zhichao, et al.
Published: (2024)
Proximal Causal Inference for Modified Treatment Policies
by: Olivas-Martinez, Antonio, et al.
Published: (2025)
by: Olivas-Martinez, Antonio, et al.
Published: (2025)
Causal Inference Using Augmented Epidemic Models
by: Bong, Heejong, et al.
Published: (2024)
by: Bong, Heejong, et al.
Published: (2024)
Semiparametric Inference for Causal Effects on Functional Outcomes
by: Nie, Junzhu, et al.
Published: (2026)
by: Nie, Junzhu, et al.
Published: (2026)
lmw: Linear Model Weights for Causal Inference
by: Chattopadhyay, Ambarish, et al.
Published: (2023)
by: Chattopadhyay, Ambarish, et al.
Published: (2023)
The Estimand Framework and Causal Inference: Complementary not Competing Paradigms
by: Drury, Thomas, et al.
Published: (2024)
by: Drury, Thomas, et al.
Published: (2024)
Causal Inference for Continuous Multiple Time Point Interventions
by: Schomaker, Michael, et al.
Published: (2023)
by: Schomaker, Michael, et al.
Published: (2023)
Causal Inference with Outcomes Truncated by Death and Missing Not at Random
by: Li, Wei, et al.
Published: (2024)
by: Li, Wei, et al.
Published: (2024)
Individualized Prediction Bands in Causal Inference with Continuous Treatments
by: Sampson, Max, et al.
Published: (2025)
by: Sampson, Max, et al.
Published: (2025)
The Effects of Major League Baseball's Ban on Infield Shifts: A Quasi-Experimental Analysis
by: Kennedy-Shaffer, Lee
Published: (2024)
by: Kennedy-Shaffer, Lee
Published: (2024)
Not Just How Much, But Where: Decomposing Epistemic Uncertainty into Per-Class Contributions
by: Toure, Mame Diarra, et al.
Published: (2026)
by: Toure, Mame Diarra, et al.
Published: (2026)
Estimating the Effects of Heatwaves on Health: A Causal Inference Framework
by: Grossi, Giulio, et al.
Published: (2025)
by: Grossi, Giulio, 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)
Degree of Interference: A General Framework For Causal Inference Under Interference
by: Ohnishi, Yuki, et al.
Published: (2022)
by: Ohnishi, Yuki, et al.
Published: (2022)
Bayesian Nonparametric Causal Inference for Quantile Residual Life: An Application to Alzheimer's Disease
by: Bae, Woojung, et al.
Published: (2026)
by: Bae, Woojung, et al.
Published: (2026)
Penalized Sparse Covariance Regression with High Dimensional Covariates
by: Gao, Yuan, et al.
Published: (2024)
by: Gao, Yuan, et al.
Published: (2024)
A Spatiotemporal, Quasi-experimental Causal Inference Approach to Characterize the Effects of Global Plastic Waste Export and Burning on Air Quality Using Remotely Sensed Data
by: Considine, Ellen M., et al.
Published: (2025)
by: Considine, Ellen M., et al.
Published: (2025)
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)
Robust Causal Inference for EHR-based Studies of Point Exposures with Missingness in Eligibility Criteria
by: Benz, Luke, et al.
Published: (2025)
by: Benz, Luke, et al.
Published: (2025)
Causal Inference of Blood Pressure Reduction and Coronary Heart Disease Risk in the Framingham Study
by: Patra, Suchibrata
Published: (2026)
by: Patra, Suchibrata
Published: (2026)
Testing Generalizability in Causal Inference
by: Manela, Daniel de Vassimon, et al.
Published: (2024)
by: Manela, Daniel de Vassimon, et al.
Published: (2024)
Choosing Covariate Balancing Methods for Causal Inference: Practical Insights from a Simulation Study
by: Peyrot, Etienne, et al.
Published: (2024)
by: Peyrot, Etienne, et al.
Published: (2024)
A Pseudo-likelihood Approach to Under-5 Mortality Estimation
by: Okonek, Taylor, et al.
Published: (2023)
by: Okonek, Taylor, et al.
Published: (2023)
Bayesian Spatially Clustered Compositional Regression: Linking intersectoral GDP contributions to Gini Coefficients
by: Meng, Jingcheng, et al.
Published: (2024)
by: Meng, Jingcheng, et al.
Published: (2024)
Mixture of Finite Mixtures Model for Basket Trial
by: Geng, Junxian, et al.
Published: (2020)
by: Geng, Junxian, et al.
Published: (2020)
A Bayesian Approach for Inference on Mixed Graphical Models
by: Florez, Mauro, et al.
Published: (2025)
by: Florez, Mauro, et al.
Published: (2025)
A Calibrated Sensitivity Analysis for Weighted Causal Decompositions
by: Shen, Andy A., et al.
Published: (2024)
by: Shen, Andy A., et al.
Published: (2024)
Causal Inference for Experiments with Latent Outcomes: Key Results and Their Implications for Design and Analysis
by: Fu, Jiawei, et al.
Published: (2025)
by: Fu, Jiawei, et al.
Published: (2025)
Similar Items
-
Time-Varying Home Field Advantage in Football: Learning from a Non-Stationary Causal Process
by: Qi, Minhao, et al.
Published: (2025) -
How do the professional players select their shot locations? An analysis of Field Goal Attempts via Bayesian Additive Regression Trees
by: Cao, Jiahao, et al.
Published: (2025) -
What Influences the Field Goal Attempts of Professional Players? Analysis of Basketball Shot Charts via Log Gaussian Cox Processes with Spatially Varying Coefficients
by: Cao, Jiahao, et al.
Published: (2025) -
Quantifying How Much Has Been Learned from a Research Study
by: Mikhaeil, Jonas M., et al.
Published: (2025) -
What is Overlap Weighting, How Has it Evolved, and When to Use It for Causal Inference?
by: Lu, Haidong, et al.
Published: (2026)