Nonparametric Regression via Tree-Guided Feature Aggregation
Fuente:
arXiv
Saved in:
| Main Authors: | Manage, Sithija, Wang, Y. Samuel, Wells, Martin T. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Broadcasted Nonparametric Tensor Regression
by: Zhou, Ya, et al.
Published: (2020)
by: Zhou, Ya, et al.
Published: (2020)
Robust Nonparametric Testing Approaches for Spatial Regression
by: Wi, Kanghyun, et al.
Published: (2026)
by: Wi, Kanghyun, et al.
Published: (2026)
Nonparametric Regression under Cluster Sampling
by: Shimizu, Yuya
Published: (2024)
by: Shimizu, Yuya
Published: (2024)
Heterogeneity-Aware Regression with Nonparametric Estimation and Structured Selection for Hospital Readmission Prediction
by: Wang, Wei, et al.
Published: (2025)
by: Wang, Wei, et al.
Published: (2025)
Robust Nonparametric Regression for Compositional Data: the Simplicial--Real case
by: Bianco, Ana M., et al.
Published: (2024)
by: Bianco, Ana M., et al.
Published: (2024)
Nonparametric Screening for Additive Quantile Regression in Ultra-high Dimension
by: Li, Daoji, et al.
Published: (2023)
by: Li, Daoji, et al.
Published: (2023)
Modeling Insurance Claims using Bayesian Nonparametric Regression
by: Abadi, Mostafa Shams Esfand, et al.
Published: (2023)
by: Abadi, Mostafa Shams Esfand, et al.
Published: (2023)
Nonparametric Regression Discontinuity Designs with Survival Outcomes
by: Schuessler, Maximilian, et al.
Published: (2026)
by: Schuessler, Maximilian, et al.
Published: (2026)
Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data
by: Chen, Jianmin, et al.
Published: (2022)
by: Chen, Jianmin, et al.
Published: (2022)
Bayesian Nonparametric Modeling for Multivariate Conditional Copula Regression with Varying Coefficients
by: Jeong, Yujin, et al.
Published: (2026)
by: Jeong, Yujin, et al.
Published: (2026)
Enhancing the Tensor Normal via Geometrically Parameterized Cholesky Factors
by: Simonis, Quinn, et al.
Published: (2025)
by: Simonis, Quinn, et al.
Published: (2025)
Conformal Prediction for Nonparametric Instrumental Regression
by: Kato, Masahiro
Published: (2026)
by: Kato, Masahiro
Published: (2026)
EM Approaches to Nonparametric Estimation for Mixture of Linear Regressions
by: Welbaum, Andrew, et al.
Published: (2025)
by: Welbaum, Andrew, et al.
Published: (2025)
A Nonparametric Maximum Likelihood Approach to Mixture of Regression
by: Jiang, Hansheng, et al.
Published: (2021)
by: Jiang, Hansheng, et al.
Published: (2021)
On Robust Empirical Likelihood for Nonparametric Regression with Application to Regression Discontinuity Designs
by: Fang, Qin, et al.
Published: (2025)
by: Fang, Qin, et al.
Published: (2025)
Multi-Layer Kernel Machines: Fast and Optimal Nonparametric Regression with Uncertainty Quantification
by: Dai, Xiaowu, et al.
Published: (2024)
by: Dai, Xiaowu, et al.
Published: (2024)
Nonparametric Regression and Error Covariance Function Estimation -- Beyond Short-Range Dependence
by: Liu, Sisheng, et al.
Published: (2025)
by: Liu, Sisheng, et al.
Published: (2025)
Iterative Estimation of Nonparametric Regressions with Continuous Endogenous Variables and Discrete Instruments
by: Centorrino, Samuele, et al.
Published: (2019)
by: Centorrino, Samuele, et al.
Published: (2019)
Nonparametric inference with massive data via grouped empirical likelihood
by: Wang, Yongda, et al.
Published: (2025)
by: Wang, Yongda, et al.
Published: (2025)
Partial Identification of Individual-Level Parameters Using Aggregate Data in a Nonparametric Model
by: Moon, Sarah
Published: (2024)
by: Moon, Sarah
Published: (2024)
Is There an AI Bubble? Robust Date-Stamping for Periods of Exuberance
by: Sarkar, Abir, et al.
Published: (2026)
by: Sarkar, Abir, et al.
Published: (2026)
Nonparametric Bayesian Knockoff Generators for Feature Selection Under Complex Data Structure
by: Martens, Michael J., et al.
Published: (2021)
by: Martens, Michael J., et al.
Published: (2021)
Nonparametric Survival Estimation with Contaminated and Adjudicated Events
by: Bladt, Martin, et al.
Published: (2025)
by: Bladt, Martin, et al.
Published: (2025)
Learning Heterogeneous Ordinal Graphical Models via Bayesian Nonparametric Clustering
by: Wen, Wang, et al.
Published: (2025)
by: Wen, Wang, et al.
Published: (2025)
Nonparametric Shrinkage Estimation in High Dimensional Generalized Linear Models via Polya Trees
by: Weinstein, Asaf, et al.
Published: (2019)
by: Weinstein, Asaf, et al.
Published: (2019)
Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$
by: Ye, Shengbin, et al.
Published: (2024)
by: Ye, Shengbin, et al.
Published: (2024)
Data Sketching and Stacking: A Confluence of Two Strategies for Predictive Inference in Gaussian Process Regressions with High-Dimensional Features
by: Gailliot, Samuel, et al.
Published: (2024)
by: Gailliot, Samuel, et al.
Published: (2024)
Nonparametric estimation of a state entry time distribution conditional on a "past" state occupation in a progressive multistate model with current status data
by: Anyaso-Samuel, Samuel, et al.
Published: (2024)
by: Anyaso-Samuel, Samuel, et al.
Published: (2024)
A Unified Bayesian Nonparametric Framework for Ordinal, Survival, and Density Regression Using the Complementary Log-Log Link
by: Alam, Entejar, et al.
Published: (2025)
by: Alam, Entejar, et al.
Published: (2025)
Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness
by: Kato, Masahiro
Published: (2024)
by: Kato, Masahiro
Published: (2024)
Nonparametric Multivariate Profile Monitoring Via Tree Ensembles
by: Timme, Daniel A., et al.
Published: (2024)
by: Timme, Daniel A., et al.
Published: (2024)
SEMMS with Random Effects: A Mixed-Model Extension for Variable Selection in Clustered and Longitudinal Data
by: Bar, Haim, et al.
Published: (2026)
by: Bar, Haim, et al.
Published: (2026)
Estimand-based Inference in Presence of Long-Term Survivors
by: Tai, Yi-Cheng, et al.
Published: (2024)
by: Tai, Yi-Cheng, et al.
Published: (2024)
Nonparametric Inference for Balance in Signed Networks
by: Chen, Xuyang, et al.
Published: (2024)
by: Chen, Xuyang, et al.
Published: (2024)
TRIP: A Nonparametric Test to Diagnose Biased Feature Importance Scores
by: Foote, Aaron, et al.
Published: (2025)
by: Foote, Aaron, et al.
Published: (2025)
Nonparametric Estimation via Partial Derivatives
by: Dai, Xiaowu
Published: (2022)
by: Dai, Xiaowu
Published: (2022)
On Nonparametric Estimation of Covariograms
by: Bilchouris, Adam, et al.
Published: (2024)
by: Bilchouris, Adam, et al.
Published: (2024)
Effect estimation in the presence of a misclassified binary mediator
by: Webb, Kimberly A. Hochstedler, et al.
Published: (2024)
by: Webb, Kimberly A. Hochstedler, et al.
Published: (2024)
Statistical inference for association studies in the presence of binary outcome misclassification
by: Webb, Kimberly A. Hochstedler, et al.
Published: (2023)
by: Webb, Kimberly A. Hochstedler, et al.
Published: (2023)
Bayesian Nonparametrics: Principles and Practice
by: Hjort, Nils Lid, et al.
Published: (2026)
by: Hjort, Nils Lid, et al.
Published: (2026)
Similar Items
-
Broadcasted Nonparametric Tensor Regression
by: Zhou, Ya, et al.
Published: (2020) -
Robust Nonparametric Testing Approaches for Spatial Regression
by: Wi, Kanghyun, et al.
Published: (2026) -
Nonparametric Regression under Cluster Sampling
by: Shimizu, Yuya
Published: (2024) -
Heterogeneity-Aware Regression with Nonparametric Estimation and Structured Selection for Hospital Readmission Prediction
by: Wang, Wei, et al.
Published: (2025) -
Robust Nonparametric Regression for Compositional Data: the Simplicial--Real case
by: Bianco, Ana M., et al.
Published: (2024)