:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bagchi, Debojjal, Bathgate, Kyle, Mitchell, Kenneth N., Asborno, Magdalena I., Kress, Marin M., Boyles, Stephen D.
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2509.22961
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Tensor Formulation of the General Linear Model with Einstein Notation
by: Kress, Gavin T.
Published: (2023)

Measurement and comparison of distributional shift with applications to ecology, economics, and image analysis
by: Locey, Kenneth J., et al.
Published: (2024)

Uncovering the topology of an infinite-server queueing network from population data
by: Gupta, Hritika, et al.
Published: (2025)

Nonparametric multimodal regression for circular data
by: Alonso-Pena, María, et al.
Published: (2020)

A Bi-criterion Steiner Traveling Salesperson Problem with Time Windows for Last-Mile Electric Vehicle Logistics
by: Agarwal, Prateek, et al.
Published: (2024)

Bayesian Methods to Improve The Accuracy of Differentially Private Measurements of Constrained Parameters
by: Janicki, Ryan, et al.
Published: (2024)

Efficient rare event estimation for multimodal and high-dimensional system reliability via subset adaptive importance sampling
by: Helal, Sara, et al.
Published: (2025)

Reliability of stochastic capacity estimates
by: Mikolasek, Igor
Published: (2026)

Cross-modal dependence analysis with asynchronous longitudinal multimodal data
by: Qian, Kun, et al.
Published: (2026)

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

Modular Markov chain Monte Carlo with application to multimodal sampling
by: Park, Joonha
Published: (2026)

Measure Selection for Functional Linear Model
by: Iao, Su I, et al.
Published: (2025)

Fragility Measures For Typical Cases
by: Alexander, Robin, et al.
Published: (2022)

Bayesian Multinomial Logistic Regression for Numerous Categories
by: Fisher, Jared D., et al.
Published: (2022)

Fixed-Effects Models for Causal Inference in Longitudinal Cluster Randomized and Quasi-Experimental Trials
by: Lee, Kenneth M., et al.
Published: (2026)

Super-resolution capacity of variance-based stochastic fluorescence microscopy
by: Labouesse, Simon, et al.
Published: (2023)

Modeling massive highly-multivariate nonstationary spatial data with the basis graphical lasso
by: Krock, Mitchell, et al.
Published: (2021)

Assessing Spatial Disparities: A Bayesian Linear Regression Approach
by: Wu, Kyle Lin, et al.
Published: (2024)

Spatial Confounding in Multivariate Areal Data Analysis
by: Wu, Kyle Lin, et al.
Published: (2025)

New Axioms for Dependence Measurement and Powerful Tests
by: Vinod, Hrishikesh D
Published: (2024)

Learned harmonic mean estimation of the marginal likelihood for multimodal posteriors with flow matching
by: Polanska, Alicja, et al.
Published: (2026)

Full Information Linked ICA: addressing missing data problem in multimodal fusion
by: Li, Ruiyang, et al.
Published: (2024)

Uncertainty quantification for critical energy systems during compound extremes via BMW-GAM
by: Krock, Mitchell L., et al.
Published: (2026)

Rejection Sampling with Vertical Weighted Strips
by: Raim, Andrew M., et al.
Published: (2024)

Transfer Learning with Network Embeddings under Structured Missingness
by: Li, Mengyan, et al.
Published: (2026)

New stochastic highway capacity estimation method and why product limit method is unsuitable
by: Mikolasek, Igor
Published: (2020)

Analysis of Stepped-Wedge Cluster Randomized Trials when treatment effects vary by exposure time or calendar time
by: Lee, Kenneth M., et al.
Published: (2024)

Causal Geodesy: Counterfactual Estimation Along the Path Between Correlation and Causation
by: Schindl, Kyle, et al.
Published: (2025)

A Unified Framework for Rerandomization using Quadratic Forms
by: Schindl, Kyle, et al.
Published: (2024)

Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction
by: Nguyen, Drew T., et al.
Published: (2024)

Self-Tuned Rejection Sampling within Gibbs and a Case Study in Small Area Estimation
by: Raim, Andrew M., et al.
Published: (2025)

Temporal Functional Factor Analysis of Brain Connectivity
by: Stanley, Kyle, et al.
Published: (2025)

Functional Factor Modeling of Brain Connectivity
by: Stanley, Kyle, et al.
Published: (2024)

How should parallel cluster randomized trials with a baseline period be analyzed? A survey of estimands and common estimators
by: Lee, Kenneth Menglin, et al.
Published: (2024)

Adaptive Shrinkage with a Nonparametric Bayesian Lasso
by: Marin, Santiago, et al.
Published: (2024)

Measuring the Impact of New Risk Factors Within Survival Models
by: Heller, Glenn, et al.
Published: (2024)

De-Biasing the Bias: Methods for Improving Disparity Assessments with Noisy Group Measurements
by: Wastvedt, Solvejg, et al.
Published: (2024)

Correcting Conditional Mean Imputation for Censored Covariates and Improving Usability
by: Lotspeich, Sarah C., et al.
Published: (2021)

Who's Winning? Clarifying Estimands Based on Win Statistics in Cluster Randomized Trials
by: Lee, Kenneth M., et al.
Published: (2026)

Stochastic highway capacity: Unsuitable Kaplan-Meier estimator, revised maximum likelihood estimator, and impact of speed harmonisation
by: Mikolášek, Igor
Published: (2025)