Bayesian Nonparametrics for Principal Stratification with Continuous Post-Treatment Variables
Fuente:
arXiv
Saved in:
| Main Authors: | Zorzetto, Dafne, Canale, Antonio, Mealli, Fabrizia, Dominici, Francesca, Bargagli-Stoffi, Falco J. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Characterizing the Effects of Environmental Exposures on Social Mobility: Bayesian Semi-parametrics for Principal Stratification
by: Zorzetto, Dafne, et al.
Published: (2024)
by: Zorzetto, Dafne, et al.
Published: (2024)
Principal Stratification with Continuous Post-Treatment Variables: Nonparametric Identification and Semiparametric Estimation
by: Lu, Sizhu, et al.
Published: (2023)
by: Lu, Sizhu, et al.
Published: (2023)
A Bayesian Nonparametric Method to Adjust for Unmeasured Confounding with Negative Controls
by: Hu, Jie Kate, et al.
Published: (2023)
by: Hu, Jie Kate, et al.
Published: (2023)
Causal Rule Ensemble: Interpretable Discovery and Inference of Heterogeneous Treatment Effects
by: Bargagli-Stoffi, Falco J., et al.
Published: (2020)
by: Bargagli-Stoffi, Falco J., et al.
Published: (2020)
Causal Stability Selection
by: Bargagli-Stoffi, Falco J., et al.
Published: (2026)
by: Bargagli-Stoffi, Falco J., et al.
Published: (2026)
Principled Estimation and Prediction with Competing Risks: a Bayesian Nonparametric Approach
by: Del Sole, Claudio, et al.
Published: (2026)
by: Del Sole, Claudio, et al.
Published: (2026)
Degrees of Freedom in Penalized Regression: Model Selection with Adaptive Penalties
by: Bernardi, Mauro, et al.
Published: (2025)
by: Bernardi, Mauro, et al.
Published: (2025)
Separate Exchangeability as Modeling Principle in Bayesian Nonparametrics
by: Rebaudo, Giovanni, et al.
Published: (2021)
by: Rebaudo, Giovanni, et al.
Published: (2021)
Cross-validation Approaches for Multi-study Predictions
by: Ren, Boyu, et al.
Published: (2020)
by: Ren, Boyu, et al.
Published: (2020)
Nonparametric Estimation of Mediation Effects with A General Treatment
by: Huang, Lukang, et al.
Published: (2022)
by: Huang, Lukang, et al.
Published: (2022)
A structural nested rate model for estimating the effects of time-varying exposure on recurrent event outcomes in the presence of death
by: Mork, Daniel, et al.
Published: (2025)
by: Mork, Daniel, et al.
Published: (2025)
Flexible Bayesian Nonparametric Product Mixtures for Multi-scale Functional Clustering
by: Yao, Tsung-Hung, et al.
Published: (2024)
by: Yao, Tsung-Hung, et al.
Published: (2024)
Nonparametric Instrumental Variable Inference with Many Weak Instruments
by: van der Laan, Lars, et al.
Published: (2025)
by: van der Laan, Lars, et al.
Published: (2025)
Nonparametric, tuning-free estimation of S-shaped functions
by: Feng, Oliver Y., et al.
Published: (2021)
by: Feng, Oliver Y., et al.
Published: (2021)
Nonparametric Inference on Unlabeled Histograms
by: Ma, Yun, et al.
Published: (2025)
by: Ma, Yun, et al.
Published: (2025)
Nonparametric priors with full-range borrowing of information
by: Ascolani, Filippo, et al.
Published: (2023)
by: Ascolani, Filippo, et al.
Published: (2023)
Bayesian Nonparametric Quasi Likelihood
by: Linero, Antonio R.
Published: (2024)
by: Linero, Antonio R.
Published: (2024)
Nonparametric Estimation via Partial Derivatives
by: Dai, Xiaowu
Published: (2022)
by: Dai, Xiaowu
Published: (2022)
Difference-in-Differences in the Presence of Unknown Interference
by: Mealli, Fabrizia, et al.
Published: (2025)
by: Mealli, Fabrizia, et al.
Published: (2025)
Nonparametric quantile regression for spatio-temporal processes
by: Deb, Soudeep, et al.
Published: (2024)
by: Deb, Soudeep, et al.
Published: (2024)
Deep Nonparametric Inference for Conditional Hazard Function
by: Su, Wen, et al.
Published: (2024)
by: Su, Wen, et al.
Published: (2024)
Bayesian Controlled FDR Variable Selection via Parameter-Expanded Latent Knockoffs
by: Focardi-Olmi, Lorenzo, et al.
Published: (2024)
by: Focardi-Olmi, Lorenzo, et al.
Published: (2024)
A Nonparametric Maximum Likelihood Approach to Mixture of Regression
by: Jiang, Hansheng, et al.
Published: (2021)
by: Jiang, Hansheng, et al.
Published: (2021)
Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation
by: Shi, Jieru, et al.
Published: (2023)
by: Shi, Jieru, et al.
Published: (2023)
Bayesian Model Averaging in Causal Instrumental Variable Models
by: Steiner, Gregor, et al.
Published: (2025)
by: Steiner, Gregor, et al.
Published: (2025)
Nonparametric Two-Sample Testing by Betting
by: Shekhar, Shubhanshu, et al.
Published: (2021)
by: Shekhar, Shubhanshu, et al.
Published: (2021)
Consistency Theory of General Nonparametric Classification Methods in Cognitive Diagnosis
by: Cui, Chengyu, et al.
Published: (2023)
by: Cui, Chengyu, et al.
Published: (2023)
Consistency of Nonparametric Density Estimators in CAT(0) Orthant Space
by: Takazawa, Yuki, et al.
Published: (2025)
by: Takazawa, Yuki, et al.
Published: (2025)
Doubly-Robust Functional Average Treatment Effect Estimation
by: Testa, Lorenzo, et al.
Published: (2025)
by: Testa, Lorenzo, et al.
Published: (2025)
Double Machine Learning of Continuous Treatment Effects with General Instrumental Variables
by: Chen, Shuyuan, et al.
Published: (2026)
by: Chen, Shuyuan, et al.
Published: (2026)
Bayesian Nonparametric Causal Inference for High-Dimensional Nutritional Data via Factor-Based Exposure Mapping
by: Zorzetto, Dafne, et al.
Published: (2026)
by: Zorzetto, Dafne, et al.
Published: (2026)
Partial Identification of Causal Effects for Endogenous Continuous Treatments
by: Dalal, Abhinandan, et al.
Published: (2025)
by: Dalal, Abhinandan, et al.
Published: (2025)
Adaptive Weight Learning for Multiple Outcome Optimization With Continuous Treatment
by: Wang, Chang, et al.
Published: (2024)
by: Wang, Chang, et al.
Published: (2024)
Empirical Bayes Estimation and Inference via Smooth Nonparametric Maximum Likelihood
by: Kim, Taehyun, et al.
Published: (2026)
by: Kim, Taehyun, et al.
Published: (2026)
Optimal Adjustment Sets for Nonparametric Estimation of Weighted Controlled Direct Effect
by: Lin, Ruiyang, et al.
Published: (2025)
by: Lin, Ruiyang, et al.
Published: (2025)
Nonparametric Statistical Inference via Metric Distribution Function in Metric Spaces
by: Wang, Xueqin, et al.
Published: (2021)
by: Wang, Xueqin, et al.
Published: (2021)
Bernstein-type Inequalities and Nonparametric Estimation under Near-Epoch Dependence
by: Yuan, Zihao, et al.
Published: (2022)
by: Yuan, Zihao, et al.
Published: (2022)
Poisson Empirical Bayes via Gamma-Smoothed Nonparametric Maximum Likelihood
by: Kim, Taehyun
Published: (2026)
by: Kim, Taehyun
Published: (2026)
Nonparametric Empirical Bayes Confidence Intervals
by: Xie, Zhen
Published: (2026)
by: Xie, Zhen
Published: (2026)
Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments
by: Branson, Zach, et al.
Published: (2023)
by: Branson, Zach, et al.
Published: (2023)
Similar Items
-
Characterizing the Effects of Environmental Exposures on Social Mobility: Bayesian Semi-parametrics for Principal Stratification
by: Zorzetto, Dafne, et al.
Published: (2024) -
Principal Stratification with Continuous Post-Treatment Variables: Nonparametric Identification and Semiparametric Estimation
by: Lu, Sizhu, et al.
Published: (2023) -
A Bayesian Nonparametric Method to Adjust for Unmeasured Confounding with Negative Controls
by: Hu, Jie Kate, et al.
Published: (2023) -
Causal Rule Ensemble: Interpretable Discovery and Inference of Heterogeneous Treatment Effects
by: Bargagli-Stoffi, Falco J., et al.
Published: (2020) -
Causal Stability Selection
by: Bargagli-Stoffi, Falco J., et al.
Published: (2026)