:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Domingue, Marie-Pier, Lévesque, Simon, Burgun, Anita, Ethier, Jean-François, Lemyre, Félix Camirand
Format:	Preprint
Published:	2026
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2604.02595
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Centre Partitions from Summaries
by: Debaly, Zinsou Max, et al.
Published: (2025)

Implementing pathogen reduction technology while discontinuing blood donor deferral criteria for sexual risk behaviors: A simulation study
by: Marie‐Pier Domingue, et al.
Published: (2024)

Testing for dice control at craps
by: Ethier, Stewart N.
Published: (2025)

Vertical Consensus Inference for High-Dimensional Random Partition
by: Nguyen, Khai, et al.
Published: (2026)

Item-Level Heterogeneous Treatment Effects of Selective Serotonin Reuptake Inhibitors (SSRIs) on Depression: Implications for Inference, Generalizability, and Identification
by: Gilbert, Joshua B., et al.
Published: (2024)

Estimating Heterogeneous Treatment Effects with Item-Level Outcome Data: Insights from Item Response Theory
by: Gilbert, Joshua B., et al.
Published: (2024)

A Novel Approach for Data Integration with Multiple Heterogeneous Data Sources
by: Shamsi, Farimah, et al.
Published: (2025)

Bootstrap Nonparametric Inference under Data Integration
by: Shang, Zuofeng, et al.
Published: (2025)

Statistical Inference on Latent Space Models for Network Data
by: Li, Jinming, et al.
Published: (2023)

Dimension Reduction for Large-Scale Federated Data: Statistical Rate and Asymptotic Inference
by: Shen, Shuting, et al.
Published: (2023)

Large-scale Data Integration using Matrix Denoising and Geometric Factor Matching
by: Held, Felix
Published: (2024)

Statistical Inference Leveraging Synthetic Data with Distribution-Free Guarantees
by: Bashari, Meshi, et al.
Published: (2025)

Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference
by: Hassan, Conor, et al.
Published: (2024)

Synthetic Data, Information, and Prior Knowledge: Why Synthetic Data Augmentation to Boost Sample Doesn't Work for Statistical Inference
by: Dale, Reid, et al.
Published: (2026)

Statistical Inferences and Predictions for Areal Data and Spatial Data Fusion with Hausdorff--Gaussian Processes
by: Godoy, Lucas da Cunha, et al.
Published: (2022)

Enterprise Profit Prediction Using Multiple Data Sources with Missing Values through Vertical Federated Learning
by: Tang, Huiyun, et al.
Published: (2025)

The Influence of Nuisance Parameter Uncertainty on Statistical Inference in Practical Data Science Models
by: Wan, Yunrong
Published: (2024)

The Estimand Framework and Causal Inference: Complementary not Competing Paradigms
by: Drury, Thomas, et al.
Published: (2024)

An Empirical Comparison of Methods to Produce Business Statistics Using Non-Probability Data
by: Ang, Lyndon, et al.
Published: (2024)

Statistical Inference for Smoothed Support Vector Machines in High Dimensions: From Offline to Online Data
by: Zhou, Shuya, et al.
Published: (2026)

Integrating Multiple Data Sources with Interactions in Multi-Omics Using Cooperative Learning
by: D'Alessandro, Matteo, et al.
Published: (2024)

bayesics: Core Statistical Methods via Bayesian Inference in R
by: Sewell, Daniel K., et al.
Published: (2026)

Statistical Inference with Stochastic Gradient Methods under $ϕ$-mixing Data
by: Liu, Ruiqi, et al.
Published: (2023)

Identification of Emotionally Stressful Periods Through Tracking Changes in Statistical Features of mHealth Data
by: Kim, Younghoon, et al.
Published: (2025)

Polytomous Explanatory Item Response Models for Item Discrimination: Assessing Negative-Framing Effects in Social-Emotional Learning Surveys
by: Gilbert, Joshua B., et al.
Published: (2024)

Statistical Inference for Heterogeneous Treatment Effect with Right-censored Data from Synthesizing Randomized Clinical Trials and Real-world Data
by: Mao, Guangcai, et al.
Published: (2025)

A Review of Statistical Methods for Handling Nonignorable Missing Data using Instrument Approach
by: Zhao, Yujie
Published: (2025)

Statistically Significant Linear Regression Coefficients Solely Driven By Outliers In Finite-sample Inference
by: Reichel, Felix
Published: (2025)

Learning Shared and Source-specific Subspaces across Multiple Data Sources for Functional Data
by: Zhang, Chi, et al.
Published: (2025)

Conformalized Bayesian Inference, with Applications to Random Partition Models
by: Bariletto, Nicola, et al.
Published: (2025)

MaxTDA: Robust Statistical Inference for Maximal Persistence in Topological Data Analysis
by: Dakurah, Sixtus, et al.
Published: (2025)

Improved Small Area Inference from Data Integration Using Global-Local Priors
by: Cahoy, D, et al.
Published: (2024)

Efficient Inference for Time-to-Event Outcomes by Integrating Right-Censored and Current Status Data
by: Li, Xiudi, et al.
Published: (2025)

Similarity-based Random Partition Distribution for Clustering Functional Data
by: Wakayama, Tomoya, et al.
Published: (2023)

Statistical Modeling of Combinatorial Response Data
by: Zheng, Yu, et al.
Published: (2025)

Statistics for Spatially Stratified Heterogeneous Data
by: Wang, Jinfeng, et al.
Published: (2022)

Data-Adaptive Integration With Summary Data
by: Morikawa, Kosuke, et al.
Published: (2025)

Accounting for Missing Data in Public Health Research Using a Synthesis of Statistical and Mathematical Models
by: Zivich, Paul N, et al.
Published: (2025)

Bayesian Framework for Multi-Source Data Integration -- Application to Human Extrapolation From Preclinical Studies
by: Boulet, Sandrine, et al.
Published: (2022)

Joint Dynamic Models and Statistical Inference for Recurrent Competing Risks, Longitudinal Marker, and Health Status
by: Tong, Lili, et al.
Published: (2021)