:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Glasgow, Garrett, Smith, Anne E.
Format:	Preprint
Published:	2025
Subjects:	Methodology Applications Computation
Online Access:	https://arxiv.org/abs/2504.04591
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Modeling Spatial Heterogeneity in Exposure Buffers and Risk: A Hierarchical Bayesian Approach
by: Comess, Saskia, et al.
Published: (2025)

Estimation of Contextual Exposure to HIV from GPS Data
by: Wu, Haoyang, et al.
Published: (2025)

Assumption Smuggling in Intermediate Outcome Tests of Causal Mechanisms
by: Blackwell, Matthew, et al.
Published: (2024)

Estimating Heterogeneous Exposure Effects in the Case-Crossover Design using BART
by: Englert, Jacob, et al.
Published: (2023)

Rapid Scaling of Compositional Uncertainty from Sample to Population Levels
by: Wang, Yiran, et al.
Published: (2025)

Sample Size Calculations for the Development of Risk Prediction Models that Account for Performance Variability
by: Pavlou, Menelaos, et al.
Published: (2025)

Model Selection for Causal Modeling in Missing Exposure Problems
by: Shi, Yuliang, et al.
Published: (2024)

Adaptive Influence Diagnostics in High-Dimensional Regression
by: Soale, Abdul-Nasah, et al.
Published: (2025)

lpcde: Estimation and Inference for Local Polynomial Conditional Density Estimators
by: Cattaneo, Matias D., et al.
Published: (2022)

Transfer Learning Between U.S. Presidential Elections: How Should We Learn From A 2020 Ad Campaign To Inform 2024 Ad Campaigns?
by: Miao, Xinran, et al.
Published: (2024)

pumBayes: Bayesian Estimation of Probit Unfolding Models for Binary Preference Data in R
by: Shi, Skylar, et al.
Published: (2025)

Sliced Elastic Distance for Evaluating Amplitude and Phase Differences in Precipitation Models
by: Garrett, Robert C., et al.
Published: (2023)

Personalized Predictions from Population Level Experiments: A Study on Alzheimer's Disease
by: Shen, Dennis, et al.
Published: (2024)

Penalized Estimation of Frailty-Based Illness-Death Models for Semi-Competing Risks
by: Reeder, Harrison T., et al.
Published: (2022)

How Much Is Too Much? Adaptive, Context-Aware Risk Detection in Naturalistic Driving
by: Kalantari, Amir Hossein, et al.
Published: (2025)

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

Probabilistic Inversion Modeling of Gas Emissions: A Gradient-Based MCMC Estimation of Gaussian Plume Parameters
by: Newman, Thomas, et al.
Published: (2024)

The Mixed-Sparse-Smooth-Model Toolbox (MSSM): Efficient Estimation and Selection of Large Multi-Level Statistical Models
by: Krause, Joshua, et al.
Published: (2025)

Bayesian Kernel Machine Regression via Random Fourier Features for Estimating Joint Health Effects of Multiple Exposures
by: Zhang, Danlu, et al.
Published: (2025)

Systematic Evaluation of Uncertainty Estimation Methods in Large Language Models
by: Hobelsberger, Christian, et al.
Published: (2025)

Scalable Estimation of Multinomial Response Models with Random Consideration Sets
by: Chib, Siddhartha, et al.
Published: (2023)

MM Algorithms for Statistical Estimation in Quantile Regression
by: Cheng, Yifan, et al.
Published: (2024)

Bayesian Methods for Modeling Cumulative Exposure to Extensive Environmental Health Hazards
by: Trangucci, Rob, et al.
Published: (2024)

Sequential Sensitivity Analysis for Multiple Assumptions: A Framework for Understanding Racial Disparity in Police Use of Force
by: Leavitt, Thomas, et al.
Published: (2026)

Gradient-free Importance Sampling Scheme for Efficient Reliability Estimation
by: Eshra, Elsayed, et al.
Published: (2025)

Targeted Maximum Likelihood Estimation for Integral Projection Models in Population Ecology
by: Zhou, Yunzhe, et al.
Published: (2024)

Bayesian Estimation of Variance under Fine Stratification via Mean-Variance Smoothing
by: Mosaferi, Sepideh, et al.
Published: (2026)

Spatial Extremes at Scale: A Case Study of Surface Skin Temperature and Heat Risk in the United States
by: Lee, Ben Seiyon, et al.
Published: (2026)

Fusing Sparse Observations and Dense Simulations for Spatial Extreme Value Analysis: Application to U.S. Coastal Sea Levels
by: White, Brian N., et al.
Published: (2026)

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

Estimating Covariate Effects on Functional Connectivity using Voxel-Level fMRI Data
by: Zhao, Wei, et al.
Published: (2025)

Influence Networks: Bayesian Modeling and Diffusion
by: Sánchez-Gutiérrez, Samuel, et al.
Published: (2024)

A Tutorial on Conducting Mediation Analysis with Exposure Mixtures
by: Wang, Yiran, et al.
Published: (2025)

Adjustment for Unmeasured Spatial Confounding in Settings of Continuous Exposure Conditional on the Binary Exposure Status: Conditional Generalized Propensity Score-Based Spatial Matching
by: Kim, Honghyok, et al.
Published: (2022)

A Unified Framework for Multiple Exposure Distributed Lag Non-Linear Models for Air Pollution Epidemiology
by: Pan, Tianyi, et al.
Published: (2026)

Adaptive Bi-Level Variable Selection of Conditional Main Effects for Generalized Linear Models
by: Xie, Kexin, et al.
Published: (2026)

Joining and splitting models with Markov melding
by: Goudie, Robert J. B., et al.
Published: (2016)

Evaluating Forecasts with scoringutils in R
by: Bosse, Nikos I., et al.
Published: (2022)

Manipulating a Continuous Instrumental Variable in an Observational Study of Premature Babies: Algorithm, Partial Identification Bounds, and Inference under Randomization and Biased Randomization Assumptions
by: Chen, Zhe, et al.
Published: (2024)

Risk Estimate under a Time-Varying Autoregressive Model for Data-Driven Reproduction Number Estimation
by: Pascal, Barbara, et al.
Published: (2024)