Estimating the effects of a California gun control program with multitask Gaussian processes

DOI10.1214/22-aoas1654arXiv2110.07006MaRDI QIDQ6104087

David Arbour, Eli Ben-Michael, Avi Feller, Alexander M. Franks, Steven Raphael

Publication date: 5 June 2023

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2110.07006

zbMATH Keywords

Gaussian processespanel datacausal inferencegun violence

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

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• Inferring causal impact using Bayesian structural time-series models
• Hilbert space methods for reduced-rank Gaussian process regression
• Estimating the effectiveness of permanent price reductions for competing products using multivariate Bayesian structural time series models
• Bayesian inference for causal effects: The role of randomization
• Causal inference: a missing data perspective
• Semiparametric Bayesian causal inference
• Assessing the causal effect of binary interventions from observational panel data with few treated units
• A nonparametric Bayesian methodology for regression discontinuity designs
• Synthetic controls with imperfect pretreatment fit
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• High-Dimensional Statistics
• Doubly robust identification for causal panel data models
• Flexible Sensitivity Analysis for Observational Studies Without Observable Implications
• Causal Inference for Statistics, Social, and Biomedical Sciences
• Advanced Lectures on Machine Learning
• Synthetic Controls with Staggered Adoption
• Matrix Completion Methods for Causal Panel Data Models
• The Augmented Synthetic Control Method
• An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls