:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Martinelli, Julien, Rebai, Ibtissem, Haas, David W., Bertrand, Julie
Format:	Preprint
Published:	2026
Subjects:	Applications
Online Access:	https://arxiv.org/abs/2604.14364
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Prediction Inference Using Generalized Functional Mixed Effects Models
by: Zhou, Xinkai, et al.
Published: (2025)

A Bayesian Approach for Inference on Mixed Graphical Models
by: Florez, Mauro, et al.
Published: (2025)

Modeling Joint Health Effects of Environmental Exposure Mixtures with Bayesian Additive Regression Trees
by: Englert, Jacob, et al.
Published: (2024)

Stochastic Search Variable Selection for Bayesian Generalized Linear Mixed Effect Models
by: Ding, Feng, et al.
Published: (2024)

Your MMM is Broken: Identification of Nonlinear and Time-varying Effects in Marketing Mix Models
by: Dew, Ryan, et al.
Published: (2024)

Bayesian Inference for Epidemic Final Size Datasets with Hidden Underlying Household Structure
by: Brooks, Joseph, et al.
Published: (2026)

Bayesian Nonparametric Multivariate Spatial Mixture Mixed Effects Models with Application to American Community Survey Special Tabulations
by: Janicki, Ryan, et al.
Published: (2020)

Design Effect Ratios for Bayesian Survey Models: A Diagnostic Framework for Identifying Survey-Sensitive Parameters
by: Lee, JoonHo
Published: (2026)

A Bayesian Approach to Estimating Effect Sizes in Educational Research
by: Bähni, Yannis
Published: (2025)

Cluster Size Matters: A Comparative Study of Notip and pARI for Post Hoc Inference in fMRI
by: Peyrouset, Nils, et al.
Published: (2025)

Learning Bayesian Networks with Heterogeneous Agronomic Data Sets via Mixed-Effect Models and Hierarchical Clustering
by: Valleggi, Lorenzo, et al.
Published: (2023)

Forecasting Mortality Rates: A Linear Mixed-Effects Model
by: Dastranj, Reza, et al.
Published: (2023)

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

Impact of agricultural atmospheric pollutants on the opto‐electrical performance of CIGS solar cells
by: Adèle Debono, et al.
Published: (2024)

A Bayesian Classification Trees Approach to Treatment Effect Variation with Noncompliance
by: Fisher, Jared D., et al.
Published: (2024)

Mixed-Effects Modeling of NYC Subway Ridership Using MTA and Weather Data
by: Curtis, Zoe, et al.
Published: (2025)

Bayesian Inference for Joint Tail Risk in Paired Biomarkers via Archimedean Copulas with Restricted Jeffreys Priors
by: Aich, Agnideep, et al.
Published: (2026)

The Multiplex $p_2$ Model: Mixed-Effects Modeling for Multiplex Social Networks
by: Hong, Anni, et al.
Published: (2024)

Joint Parameter and State Estimation for Input‐Nonlinear State‐Space Models With Random Data Missing Based on Kalman Smoothing
by: Junxia Ma, et al.
Published: (2025)

Semi-Markov Models with Particle-Based Bayesian Inference for Epidemics
by: Aschermayr, Patrick, et al.
Published: (2026)

Nonlinear Treatment Effects in Shift-Share Designs
by: Garzon, Luigi, et al.
Published: (2025)

Cumulative Link Mixed-Effects Models in the Service of Remote Sensing Crop Progress Monitoring
by: Oikonomidis, Ioannis, et al.
Published: (2023)

Statistical Evolution of ODI Cricket: Analyzing Performance Trends and Effect Sizes
by: Mullick, Pratik
Published: (2024)

Causal Inference in Genetic Trio Studies
by: Bates, Stephen, et al.
Published: (2020)

Bayesian Time Varying Coefficient Model with Applications to Marketing Mix Modeling
by: Ng, Edwin, et al.
Published: (2021)

Variational Inference for Fully Bayesian Hierarchical Linear Models
by: Parra-Aldana, Cristian, et al.
Published: (2025)

BMRMM: An R Package for Bayesian Markov (Renewal) Mixed Models
by: Wu, Yutong, et al.
Published: (2024)

Random Effects Misspecification and its Consequences for Prediction in Generalized Linear Mixed Models
by: Vu, Quan, et al.
Published: (2024)

Effects of Social Structure on Effective Population Size Change Estimates
by: Bárbara Ribeiro Parreira, et al.
Published: (2025)

Forecasting Influenza Hospitalizations Using a Bayesian Hierarchical Nonlinear Model with Discrepancy
by: Wadsworth, Spencer, et al.
Published: (2024)

A Bayesian Joint Modelling for Misclassified Interval-censoring and Competing Risks
by: Yang, Zhenwei, et al.
Published: (2024)

Semiparametric Inference for Causal Effects on Functional Outcomes
by: Nie, Junzhu, et al.
Published: (2026)

A Bayesian Learning Model for Joint Risk Prediction of Alcohol and Cannabis Use Disorders
by: Rajapaksha, Rajapaksha Mudalige Dhanushka S., et al.
Published: (2025)

Bayesian Hierarchical Modeling and Inference for Mechanistic Systems in Industrial Hygiene
by: Pan, Soumyakanti, et al.
Published: (2023)

Bayesian Nonlinear PDE Inference via Gaussian Process Collocation with Application to the Richards Equation
by: Yang, Yumo, et al.
Published: (2025)

Effect Size-Driven Pathway Meta-Analysis for Gene Expression Data
by: Villatoro-García, Juan Antonio, et al.
Published: (2025)

Bayesian Inference of Multiple Ising Models for Heterogeneous Public Opinion Survey Networks
by: Avalos-Pacheco, Alejandra, et al.
Published: (2024)

Joint Modeling of Longitudinal EHR Data with Shared Random Effects for Informative Visiting and Observation Processes
by: Yang, Cheng-Han, et al.
Published: (2026)

Joint Modeling of Biomarker Cascades Along An Unobserved Disease Progression with Differentiate Covariate Effects: An Application in Alzheimer's Disease
by: Tang, Zhuojun, et al.
Published: (2023)

Heritable Genetic Effects Caused by a Single Generation of Captive Breeding
by: Mark R. Christie, et al.
Published: (2026)