Extrapolation-Aware Nonparametric Statistical Inference
Fuente:
arXiv
Guardado en:
| Autores principales: | Pfister, Niklas, Bühlmann, Peter |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Identifiability of Sparse Causal Effects using Instrumental Variables
por: Pfister, Niklas, et al.
Publicado: (2022)
por: Pfister, Niklas, et al.
Publicado: (2022)
Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness
por: Kato, Masahiro
Publicado: (2024)
por: Kato, Masahiro
Publicado: (2024)
Perturbation-based Effect Measures for Compositional Data
por: Lundborg, Anton Rask, et al.
Publicado: (2023)
por: Lundborg, Anton Rask, et al.
Publicado: (2023)
Robustness Against Weak or Invalid Instruments: Exploring Nonlinear Treatment Models with Machine Learning
por: Guo, Zijian, et al.
Publicado: (2022)
por: Guo, Zijian, et al.
Publicado: (2022)
Extrapolation in Statistical Learning with Extreme Value Theory
por: Engelke, Sebastian, et al.
Publicado: (2026)
por: Engelke, Sebastian, et al.
Publicado: (2026)
Invariant Subspace Decomposition
por: Lazzaretto, Margherita, et al.
Publicado: (2024)
por: Lazzaretto, Margherita, et al.
Publicado: (2024)
Identifying Causal Effects Using a Single Proxy Variable
por: Vollmer, Silvan, et al.
Publicado: (2026)
por: Vollmer, Silvan, et al.
Publicado: (2026)
Nonparametric Instrumental Variable Inference with Many Weak Instruments
por: van der Laan, Lars, et al.
Publicado: (2025)
por: van der Laan, Lars, et al.
Publicado: (2025)
Treatment Effect Estimation with Observational Network Data using Machine Learning
por: Emmenegger, Corinne, et al.
Publicado: (2022)
por: Emmenegger, Corinne, et al.
Publicado: (2022)
Statistical Inference on Gradient Flows
por: Li, Tongyu, et al.
Publicado: (2026)
por: Li, Tongyu, et al.
Publicado: (2026)
Optimistic search: Change point estimation for large-scale data via adaptive logarithmic queries
por: Kovács, Solt, et al.
Publicado: (2020)
por: Kovács, Solt, et al.
Publicado: (2020)
Likelihood-Preserving Embeddings for Statistical Inference
por: Akdemir, Deniz
Publicado: (2025)
por: Akdemir, Deniz
Publicado: (2025)
Statistical Inference for Gradient Boosting Regression
por: Fang, Haimo, et al.
Publicado: (2025)
por: Fang, Haimo, et al.
Publicado: (2025)
Causal Invariance Learning via Efficient Nonconvex Optimization
por: Wang, Zhenyu, et al.
Publicado: (2024)
por: Wang, Zhenyu, et al.
Publicado: (2024)
Optimal Demixing of Nonparametric Densities
por: Fan, Jianqing, et al.
Publicado: (2026)
por: Fan, Jianqing, et al.
Publicado: (2026)
Scalable Kernel-Based Distances for Statistical Inference and Integration
por: Naslidnyk, Masha
Publicado: (2026)
por: Naslidnyk, Masha
Publicado: (2026)
Statistical Inference under Adaptive Sampling with LinUCB
por: Fan, Wei, et al.
Publicado: (2025)
por: Fan, Wei, et al.
Publicado: (2025)
Transfer Learning for Nonparametric Contextual Dynamic Pricing
por: Wang, Fan, et al.
Publicado: (2025)
por: Wang, Fan, et al.
Publicado: (2025)
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning
por: Gu, Yihong, et al.
Publicado: (2024)
por: Gu, Yihong, et al.
Publicado: (2024)
Nonparametric Instrumental Variable Analysis Without Structural Equations: Debiased Inference on Functionals of Inverse Problems with No Solutions
por: Shen, Zikai, et al.
Publicado: (2026)
por: Shen, Zikai, et al.
Publicado: (2026)
Statistical Inference for Manifold Similarity and Alignability across Noisy High-Dimensional Datasets
por: Chen, Hongrui, et al.
Publicado: (2025)
por: Chen, Hongrui, et al.
Publicado: (2025)
On Statistical Inference for High-Dimensional Binary Time Series
por: Dai, Dehao, et al.
Publicado: (2025)
por: Dai, Dehao, et al.
Publicado: (2025)
Online Estimation with Rolling Validation: Adaptive Nonparametric Estimation with Streaming Data
por: Zhang, Tianyu, et al.
Publicado: (2023)
por: Zhang, Tianyu, et al.
Publicado: (2023)
Automatic Debiased Machine Learning for Smooth Functionals of Nonparametric M-Estimands
por: van der Laan, Lars, et al.
Publicado: (2025)
por: van der Laan, Lars, et al.
Publicado: (2025)
Model-free Estimation of Latent Structure via Multiscale Nonparametric Maximum Likelihood
por: Aragam, Bryon, et al.
Publicado: (2024)
por: Aragam, Bryon, et al.
Publicado: (2024)
Inference on Variable Importance for Treatment Effect Heterogeneity: Shapley Values and Beyond
por: Morzywolek, Pawel, et al.
Publicado: (2025)
por: Morzywolek, Pawel, et al.
Publicado: (2025)
Nonparametric Statistical Inference via Metric Distribution Function in Metric Spaces
por: Wang, Xueqin, et al.
Publicado: (2021)
por: Wang, Xueqin, et al.
Publicado: (2021)
CITE: Anytime-Valid Statistical Inference in LLM Self-Consistency
por: Ota, Hirofumi, et al.
Publicado: (2026)
por: Ota, Hirofumi, et al.
Publicado: (2026)
Statistical Inference for Optimal Transport Maps: Recent Advances and Perspectives
por: Balakrishnan, Sivaraman, et al.
Publicado: (2025)
por: Balakrishnan, Sivaraman, et al.
Publicado: (2025)
Statistical Properties of Rectified Flow
por: Mena, Gonzalo, et al.
Publicado: (2025)
por: Mena, Gonzalo, et al.
Publicado: (2025)
Spectrum-Aware Debiasing: A Modern Inference Framework with Applications to Principal Components Regression
por: Li, Yufan, et al.
Publicado: (2023)
por: Li, Yufan, et al.
Publicado: (2023)
Differentially Private Federated Learning: Servers Trustworthiness, Estimation, and Statistical Inference
por: Zhang, Zhe, et al.
Publicado: (2024)
por: Zhang, Zhe, et al.
Publicado: (2024)
Generalized Data Thinning Using Sufficient Statistics
por: Dharamshi, Ameer, et al.
Publicado: (2023)
por: Dharamshi, Ameer, et al.
Publicado: (2023)
Statistical Hypothesis Testing for Information Value (IV)
por: Rojas, Helder, et al.
Publicado: (2023)
por: Rojas, Helder, et al.
Publicado: (2023)
Proximal Path-Specific Inference
por: Bai, Yang, et al.
Publicado: (2026)
por: Bai, Yang, et al.
Publicado: (2026)
Nonparametric extensions of randomized response for private confidence sets
por: Waudby-Smith, Ian, et al.
Publicado: (2022)
por: Waudby-Smith, Ian, et al.
Publicado: (2022)
Algebraic and Statistical Properties of the Ordinary Least Squares Interpolator
por: Shen, Dennis, et al.
Publicado: (2023)
por: Shen, Dennis, et al.
Publicado: (2023)
On the Role of Surrogates in Conformal Inference of Individual Causal Effects
por: Gao, Chenyin, et al.
Publicado: (2024)
por: Gao, Chenyin, et al.
Publicado: (2024)
Predictive Inference in Multi-environment Scenarios
por: Duchi, John C., et al.
Publicado: (2024)
por: Duchi, John C., et al.
Publicado: (2024)
Concentration and Calibration in Predictive Bayesian Inference
por: Frazier, David T., et al.
Publicado: (2026)
por: Frazier, David T., et al.
Publicado: (2026)
Ejemplares similares
-
Identifiability of Sparse Causal Effects using Instrumental Variables
por: Pfister, Niklas, et al.
Publicado: (2022) -
Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness
por: Kato, Masahiro
Publicado: (2024) -
Perturbation-based Effect Measures for Compositional Data
por: Lundborg, Anton Rask, et al.
Publicado: (2023) -
Robustness Against Weak or Invalid Instruments: Exploring Nonlinear Treatment Models with Machine Learning
por: Guo, Zijian, et al.
Publicado: (2022) -
Extrapolation in Statistical Learning with Extreme Value Theory
por: Engelke, Sebastian, et al.
Publicado: (2026)