Imagen de Portada

Unobserved Heterogeneity in Threshold Regression Based on the Hitting Times of a Reflected Brownian Motion for Recurrent Hypoglycemia

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Xie, Yingfa, Fu, Haoda, Huang, Yuan, Yan, Jun
Formato:	Preprint
Publicado:	2026
Materias:	Methodology
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Recurrent Events Modeling Based on a Reflected Brownian Motion with Application to Hypoglycemia
por: Xie, Yingfa, et al.
Publicado: (2024)

Deep Neural Networks Guided Ensemble Learning for Point Estimation
por: Zhan, Tianyu, et al.
Publicado: (2021)

Integrating RCTs, RWD, AI/ML and Statistics: Next-Generation Evidence Synthesis
por: Yang, Shu, et al.
Publicado: (2025)

Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls
por: Liu, Mochuan, et al.
Publicado: (2022)

Inference on Extreme Quantiles of Unobserved Individual Heterogeneity
por: Morozov, Vladislav
Publicado: (2022)

Bayesian Inference of Geometric Brownian Motion: An Extension with Jumps
por: Yan, Yifei, et al.
Publicado: (2025)

Flexible yet Sparse Bayesian Survival Models with Time-Varying Coefficients and Unobserved Heterogeneity
por: Knaus, Peter, et al.
Publicado: (2022)

Analyzing Zero-Truncated Recurrent Events by Stratified Regression with Time-Varying Coefficients
por: Chen, Anqi A., et al.
Publicado: (2025)

Wavelet Based Time Series Models with Time-Varying Thresholds
por: Davis, Rhea, et al.
Publicado: (2026)

Population Size Estimation with Many Lists and Heterogeneity: A Conditional Log-Linear Model Among the Unobserved
por: Rubio, Mateo Dulce, et al.
Publicado: (2024)

Multi-Label Residual Weighted Learning for Individualized Combination Treatment Rule
por: Xu, Qi, et al.
Publicado: (2023)

Bayesian Structured Mediation Analysis With Unobserved Confounders
por: Xu, Yuliang, et al.
Publicado: (2024)

Age-Specific Logistic Regression with Complex Event Time Data
por: Haoxuan, et al.
Publicado: (2026)

Nonparametric Sensitivity Analysis for Unobserved Confounding with Survival Outcomes
por: Hu, Rui, et al.
Publicado: (2025)

Unsupervised Domain Adaptation for Binary Classification with an Unobservable Source Subpopulation
por: Ying, Chao, et al.
Publicado: (2025)

Recovering Unobserved Network Links from Aggregated Relational Data: Discussions on Bayesian Latent Surface Modeling and Penalized Regression
por: Tseng, Yen-hsuan
Publicado: (2025)

Simultaneous Inference for Time Series Functional Linear Regression
por: Cui, Yan, et al.
Publicado: (2022)

Sharp Bounds for Continuous-Valued Treatment Effects with Unobserved Confounders
por: Baitairian, Jean-Baptiste, et al.
Publicado: (2024)

Stratified Regression Analysis of Zero-Truncated Recurrent Event Data
por: Chen, Anqi A., et al.
Publicado: (2025)

A Bivariate Transformation Model for Time-to-Event Data Affected by Unobserved Confounding: Revisiting the Illinois Reemployment Bonus Experiment
por: Marra, Giampiero, et al.
Publicado: (2024)

Detecting Outliers in Multiple Sampling Results Without Thresholds
por: Shen, Yu-Fu
Publicado: (2024)

Causal Inference for Unobservable Multivariate Outcomes, with Applications to Brain Effective Connectivity
por: Song, Haiyue, et al.
Publicado: (2026)

Generalizing the Finkelstein-Schoenfeld Test to Incorporate Multiple Alternating Thresholds
por: Mou, Yunhan, et al.
Publicado: (2024)

Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding
por: Zheng, Jiajing, et al.
Publicado: (2021)

Regression Analysis of Ordinal Panel Count Data in Recurrent Medication Non-adherence
por: Zhou, Jiangjie, et al.
Publicado: (2025)

Treatment Effect Heterogeneity in Regression Discontinuity Designs
por: Calonico, Sebastian, et al.
Publicado: (2025)

Auditing Fairness under Unobserved Confounding
por: Byun, Yewon, et al.
Publicado: (2024)

Scalable Scalar-on-Image Cortical Surface Regression with a Relaxed-Thresholded Gaussian Process Prior
por: Menacher, Anna, et al.
Publicado: (2024)

Modified BART for Learning Heterogeneous Effects in Regression Discontinuity Designs
por: Alcantara, Rafael, et al.
Publicado: (2024)

Mixed Effects Mixture of Experts: Modeling Double Heterogeneous Trajectories
por: Yue, Xinkai, et al.
Publicado: (2026)

Use of Prior Knowledge to Discover Causal Additive Models with Unobserved Variables and its Application to Time Series Data
por: Maeda, Takashi Nicholas, et al.
Publicado: (2024)

Robust Inference for Causal Mediation Analysis of Recurrent Event Data
por: Chen, Yan-Lin, et al.
Publicado: (2023)

Causal Inference with Categorical Unobserved Confounder via Mixture Learning
por: Saha, Aytijhya, et al.
Publicado: (2026)

Sensitivity Analysis to Unobserved Confounding with Copula-based Normalizing Flows
por: Balgi, Sourabh, et al.
Publicado: (2025)

Causal Additive Models with Unobserved Causal Paths and Backdoor Paths
por: Pham, Thong, et al.
Publicado: (2025)

Optimal Multitask Linear Regression and Contextual Bandits under Sparse Heterogeneity
por: Huang, Xinmeng, et al.
Publicado: (2023)

The Proximal Surrogate Index: Long-Term Treatment Effects under Unobserved Confounding
por: Hung, Ting-Chih, et al.
Publicado: (2026)

Distribution-in-distribution-out Regression
por: Chen, Xiaoyu, et al.
Publicado: (2024)

Estimation of Treatment Effects in Extreme and Unobserved Data
por: Tan, Jiyuan, et al.
Publicado: (2025)

Causal Discovery of Linear Non-Gaussian Causal Models with Unobserved Confounding
por: Schkoda, Daniela, et al.
Publicado: (2024)