:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Alam, Entejar, Kundu, Poorbita, Linero, Antonio R.
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2509.05832
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Unified Bayesian Nonparametric Framework for Ordinal, Survival, and Density Regression Using the Complementary Log-Log Link
by: Alam, Entejar, et al.
Published: (2025)

DPGLM: A Semiparametric Bayesian GLM with Inhomogeneous Normalized Random Measures
by: Alam, Entejar, et al.
Published: (2025)

Decomposition-Based Intrinsic Modeling of Shape-Constrained Functional Data
by: Kundu, Poorbita, et al.
Published: (2024)

Dir-SPGLM: A Bayesian semiparametric GLM with data-driven reference distribution
by: Alam, Entejar, et al.
Published: (2024)

Defensive Model Expansion for Robust Bayesian Inference
by: Linero, Antonio R.
Published: (2025)

Bayesian Nonparametric Quasi Likelihood
by: Linero, Antonio R.
Published: (2024)

Exceedance and force of centrality for functional data
by: Kundu, Poorbita, et al.
Published: (2025)

Bayesian Additive Distribution Regression
by: Linero, Antonio R., et al.
Published: (2026)

Predictive variational inference: Learn the predictively optimal posterior distribution
by: Lai, Jinlin, et al.
Published: (2024)

Scalable Decisions using a Bayesian Decision-Theoretic Approach
by: Ng, Hoiyi, et al.
Published: (2026)

Analysis of spatially clustered survival data with unobserved covariates using SBART
by: Ghosh, Durbadal, et al.
Published: (2024)

In-Sample Evaluation of Subgroups Identified by Generic Machine Learning
by: Xu, Shuoxun, et al.
Published: (2026)

SIMBA -- A Bayesian Decision Framework for the Identification of Optimal Biomarker Subgroups for Cancer Basket Clinical Trials
by: Yuan, Shijie, et al.
Published: (2025)

Chiseling: Powerful and Valid Subgroup Selection via Interactive Machine Learning
by: Cheng, Nathan, et al.
Published: (2025)

Treatment Effect Heterogeneity and Importance Measures for Multivariate Continuous Treatments
by: Shin, Heejun, et al.
Published: (2024)

Statistical Performance Guarantee for Subgroup Identification with Generic Machine Learning
by: Li, Michael Lingzhi, et al.
Published: (2023)

When Is Generalized Bayes Bayesian? A Decision-Theoretic Characterization of Loss-Based Updating
by: McAlinn, Kenichiro, et al.
Published: (2026)

TWICEBEE: A Two-stage Intra-patient Curve-free Bayesian Decision-Theoretic Dose Escalation Design
by: Bi, Dehua, et al.
Published: (2026)

Bayesian Variable Selection for Multi-Outcome Models Through Shared Shrinkage
by: Kundu, Debamita, et al.
Published: (2019)

Bayesian Tensor-on-Tensor Varying Coefficient Model for Forecasting Alzheimer's Disease Progression
by: Liu, Yajie, et al.
Published: (2026)

Bayesian Scalar-on-Tensor Quantile Regression for Longitudinal Data on Alzheimer's Disease
by: Lyu, Rongke, et al.
Published: (2026)

Flexible Bayesian Nonparametric Product Mixtures for Multi-scale Functional Clustering
by: Yao, Tsung-Hung, et al.
Published: (2024)

SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification
by: Lee, Seungyeon, et al.
Published: (2024)

Active Subspaces in Infinite Dimension
by: Kundu, Poorbita, et al.
Published: (2025)

Decision-Theoretic Robustness for Network Models
by: Papamichalis, Marios, et al.
Published: (2026)

Penalized Subgrouping of Heterogeneous Time Series
by: Crawford, Christopher M., et al.
Published: (2024)

Subgroup Identification with Latent Factor Structure
by: He, Yong, et al.
Published: (2024)

Bayesian Outlier Detection for Matrix-variate Models
by: Billio, Monica, et al.
Published: (2025)

Identifying Subgroup and Context Effects in Conjoint Experiments
by: Wang, Steven, et al.
Published: (2025)

Propensity Score Analysis with Guaranteed Subgroup Balance
by: Li, Yan, et al.
Published: (2024)

CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect
by: Zhou, Jiehui, et al.
Published: (2024)

Minimax Regret Learning for Data with Heterogeneous Subgroups
by: Mo, Weibin, et al.
Published: (2024)

A Pragmatic Framework for Bayesian Utility Magnitude-Based Decisions
by: Hopkins, Will G.
Published: (2025)

Bayesian Machine Learning for Estimating Optimal Dynamic Treatment Regimes with Ordinal Outcomes
by: Wang, Xinru, et al.
Published: (2025)

Improving Survey Inference in Two-phase Designs Using Bayesian Machine Learning
by: Wang, Xinru, et al.
Published: (2023)

Doubly-Regressing Approach for Subgroup Fairness
by: Kim, Kunwoong, et al.
Published: (2025)

Dir‐GLM: A Bayesian GLM With Data‐Driven Reference Distribution
by: Entejar Alam, et al.
Published: (2025)

Subgroup learning in functional regression models under the RKHS framework
by: Guan, Xin, et al.
Published: (2025)

Subgroup analysis in multi level hierarchical cluster randomized trials
by: Chakraborty, Shubhadeep, et al.
Published: (2024)

Hierarchical Regression Discontinuity Design: Pursuing Subgroup Treatment Effects
by: Sugasawa, Shonosuke, et al.
Published: (2023)