:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sun, Siqi, Schmidt, Karen M., Henry, Teague R.
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2502.02846
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Identifying nonlinear relations among random variables: A network analytic approach
by: Slipetz, Lindley R., et al.
Published: (2024)

Response Style Characterization for Repeated Measures Using the Visual Analogue Scale
by: Minusa, Shunsuke, et al.
Published: (2024)

A Unified Framework for Large-Scale Inference of Classification: Error Rate Control and Optimality
by: Sun, Yinrui, et al.
Published: (2025)

Missing Data in Discrete Time State-Space Modeling of Ecological Momentary Assessment Data: A Monte-Carlo Study of Imputation Methods
by: Slipetz, Lindley R., et al.
Published: (2023)

Sampling: You Don't Have To Ask Everybody.
by: Janes, Joseph
Published: (2000)

Optimal Instrument Selection using Bayesian Model Averaging for Model Implied Instrumental Variable Two Stage Least Squares Estimators
by: Henry, Teague R., et al.
Published: (2018)

When Respondents Don't Care Anymore: Identifying the Onset of Careless Responding
by: Welz, Max, et al.
Published: (2023)

Calibrate, Don't Curate: Label-Efficient Estimation from Noisy LLM Judges
by: Li, Yanran
Published: (2026)

A Hybrid Latent-Class Item Response Model for Detecting Measurement Non-Invariance in Ordinal Scales
by: Wallin, Gabriel, et al.
Published: (2026)

Comparing the Robustness of Simple Network Scale-Up Method (NSUM) Estimators
by: Kunke, Jessica P., et al.
Published: (2023)

Empirical Bayes Method for Large Scale Multiple Testing with Heteroscedastic Errors
by: Seo, Kwangok, et al.
Published: (2025)

Don't Disregard the Data for Lack of a Likelihood: Bayesian Synthetic Likelihood for Enhanced Multilevel Network Meta-Regression
by: Campbell, Harlan, et al.
Published: (2026)

Ordinal Outcome State-Space Models for Intensive Longitudinal Data
by: Henry, Teague R., et al.
Published: (2023)

From Small Scales to Large Scales: Distance-to-Measure Density based Geometric Analysis of Complex Data
by: Proksch, Katharina, et al.
Published: (2022)

Heterogeneity-Aware Federated Causal Inference Leveraging Effect-Measure Transportability
by: Cao, Siqi, et al.
Published: (2025)

Prediction in Measurement Error Models
by: Jiang, Fei, et al.
Published: (2024)

Semi-Implicit Approaches for Large-Scale Bayesian Spatial Interpolation
by: Garneau, Sébastien, et al.
Published: (2025)

Fast leave-one-cluster-out cross-validation using clustered Network Information Criterion (NICc)
by: Qiu, Jiaxing, et al.
Published: (2024)

Inference for Large Scale Regression Models with Dependent Errors
by: Voirol, Lionel, et al.
Published: (2024)

Don't Let Your Robot be Harmful: Responsible Robotic Manipulation via Safety-as-Policy
by: Ni, Minheng, et al.
Published: (2024)

High-Dimensional Data with Measurement Error
by: Tesso, Herman, et al.
Published: (2026)

Insights into the Relationship Between D- and A-optimal Designs
by: Karl, Andrew T., et al.
Published: (2026)

A Tensor-EM Method for Large-Scale Latent Class Analysis with Binary Responses
by: Zeng, Zhenghao, et al.
Published: (2021)

Discovering Causal Relationships Between Time Series With Spatial Structure
by: Supple, Rebecca F., et al.
Published: (2025)

Simple Estimation of Semiparametric Models with Measurement Errors
by: Evdokimov, Kirill S., et al.
Published: (2023)

Intellectual Up-streams of Percentage Scale ($ps$) and Percentage Coefficient ($b_p$) -- Effect Size Analysis (Theory Paper 2)
by: Zhao, Xinshu, et al.
Published: (2025)

Asymptotic Standard Errors for Reliability Coefficients in Item Response Theory
by: Sung, Youjin, et al.
Published: (2025)

Sample Size and Bias Approximations For Continuous Exposures Measured with Error
by: Kim, Honghyok
Published: (2024)

Flexible and Efficient Estimation of Causal Effects with Error-Prone Exposures: A Control Variates Approach for Measurement Error
by: Barnatchez, Keith, et al.
Published: (2024)

Accounting for Measurement Bias: A New Framework for Reliable Country Ranking in Large-Scale Educational Assessments
by: Ouyang, Jing, et al.
Published: (2025)

Scale Reliant Inference
by: Nixon, Michelle Pistner, et al.
Published: (2022)

Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images
by: Yu, Zhuoran, et al.
Published: (2023)

Transportability of Regression Calibration with External Validation Studies for Measurement Error Correction
by: Li, Zexiang, et al.
Published: (2026)

Measurement Error Correction for Spatially Defined Environmental Exposures in Survival Analysis
by: Ge, Lin, et al.
Published: (2024)

Sequential Methods for Error Correction of Probabilistic Wind Power Forecasts
by: Jørgensen, Bastian Schmidt, et al.
Published: (2025)

Scaling Reproducibility: An AI-Assisted Workflow for Large-Scale Replication and Reanalysis
by: Xu, Yiqing, et al.
Published: (2026)

Introducing Flexible Monotone Multiple Choice Item Response Theory Models and Bit Scales
by: Wallmark, Joakim, et al.
Published: (2024)

Billions-Scale Forecast Reconciliation
by: Wang, Tianyu, et al.
Published: (2026)

Policy-Aware Design of Large-Scale Factorial Experiments
by: Wen, Xin, et al.
Published: (2026)

Addressing Confounding and Continuous Exposure Measurement Error Using Corrected Score Functions
by: Richardson, Brian D., et al.
Published: (2024)