Mixed-Effects Models

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2 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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  1. Trustworthy Method Comparison with AI Judges: Estimation and Design under Order, Batch, and Aggregation Effects

    Oct 6, 2026Tianxi Li, Jie DingLLM EvaluationLLM-as-a-Judge

    School of Statistics, University of Minnesota

  2. NPBoost: Neural Processes with Gradient-Boosted Fixed Effects

    Sep 23, 2026Andrea Nava, Ken Rölli, Armin Begic +1Meta-LearningNeural Processes

    Seminar for Statistics, ETH Zurich, Switzerland · Lucerne University of Applied Sciences and Arts, Switzerland

  3. Prior-Amortized In-Context Bayesian Inference for Generalized Linear Mixed-Effects Models

    Sep 21, 2026Alex Kipnis, Marcel Binz, Eric SchulzNeural Posterior EstimationAmortized Inference

    Institute for Human-Centered AI, Helmholtz Munich, Germany

  4. Implementing neural network mixed-effects models in Template Model Builder (TMB)

    Aug 31, 2026Nan Zheng, Hoi Yiu Cheung, Vibhu Sharma +2Mixed-Effects Models

    Department of Mathematics and Statistics, Memorial University of Newfoundland, Canada · Resource Ecology and Fisheries Management, Alaska Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, USA · Centre for Fisheries Ecosystems Research, Fisheries and Marine Institute of Memorial University of Newfoundland, Canada

  5. Neural ODE enhanced linear mixed effect models for estimating complex association patterns of time-varying covariates with the marker trajectory

    Aug 30, 2026Zhe Aurore Li, Quentin Clairon, Cécilia Samieri +3Mixed-Effects Models

    Univ. Bordeaux, Inserm, BPH, UMR 1219, 33000 Bordeaux, France · INRIA SISTM, 33000 Bordeaux, France · Vaccine Research Institute, 94010 Creteil, France

  6. Deep Generalised Mixed Models: a Novel Neural Network Structure for Analysing Hierarchical Data

    Aug 6, 2026Nina van Gerwen, Dimitris Rizopoulos, Manon Hillegers +2Learning with Missing DataMixed-Effects Models

    Department of Biostatistics, Erasmus University Medical Center, the Netherlands · Department of Epidemiology, Erasmus University Medical Center, the Netherlands · Department of Child Psychiatry, Erasmus University Medical Center, the Netherlands +1

  7. Structure Learning on Clustered Data

    Jul 9, 2026Ryan Thompson, Matt P. Wand, Veerabhadran BaladandayuthapaniCausal Structure LearningCausal Identifiability

    School of Mathematical and Physical Sciences University of Technology Sydney Ultimo, NSW 2007, Australia · Department of Biostatistics University of Michigan Ann Arbor, MI 48105, USA

  8. Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data

    Jul 6, 2026Yuankang Zhao, Youngsoo Baek, Felipe A. Medeiros +2Bayesian InferenceHierarchical Bayesian Modeling

    Department of Biostatistics & Bioinformatics, Duke University · Department of Ophthalmology, University of Miami

  9. DTVEM-RE: A Hierarchical Random-Effects Extension of the Differential Time-Varying Effect Model for Person-Specific Multi-Lag Estimation in Intensive Longitudinal Data

    Jun 12, 2026Amartya BhattacharyaIrregular Time-Series ModelingHierarchical Bayesian Modeling

    Geisel School of Medicine, Dartmouth College

  10. How Sensitive Are Radiomic AI Models to Acquisition Parameters?

    May 14, 2026D. Gil, I. Sanchez, C. SanchezMedical ImagingMedical Diagnosis

    Universitat Autònoma de Barcelona and Computer Vision Center, Edifici O, Campus UAB, Bellaterra (Cerdanyola), 08193, Barcleona, Spain

  11. Bayesian Nonparametric Mixed-Effect ODEs with Gaussian Processes

    May 13, 2026Julien Martinelli, Maksim Sinelnikov, Harri Lähdesmäki +2Dynamical SystemsBayesian Inference

    Aalto University · Inria SISTM team · Univ. Bordeaux, INSERM BPH, U1219, Inria SISTM team, VRI, France

  12. MixINN: Accelerating Plant Breeding by Combining Mixed Models and Deep Learning for Interaction Prediction

    May 6, 2026Aike Potze, Fred van Eeuwijk, Ioannis N. AthanasiadisMixed-Effects ModelsCrop Yield Prediction

    Artificial Intelligence Group, Wageningen University & Research · Mathematical & Statistical Methods Group (Biometris), Wageningen University & Research

  13. Random-Effects Algorithm for Random Objects in Metric Spaces

    May 4, 2026Marcos Matabuena, Mateo CámaraMixed-Effects Models

    Mohamed bin Zayed University of Artificial Intelligence · Signal Processing Applications Group, Universidad Politécnica de Madrid

  14. Fitting Large Nonlinear Mixed Effects Models Using Variational Expectation Maximization

    Apr 28, 2026Mohamed Tarek, Pedro AfonsoExpectation-MaximizationVariational Inference

    PumasAI, USA

  15. Gradient Boosted Mixed Models: Flexible Estimation of Mean and Variance Components for Clustered Data

    Oct 31, 2025Mitchell L. Prevett, Francis K. C. Hui, Zhi Yang Tho +2Gradient-Boosted Decision TreesHeteroscedastic Regression

    Research School of Finance, Actuarial Studies and Statistics The Australian National University Canberra, ACT 2601, Australia

  16. Scalable Krylov Subspace Methods for Generalized Mixed-Effects Models with Crossed Random Effects

    Date pendingPascal Kündig, Fabio SigristLatent Variable ModelsKrylov Subspace Methods

    Lucerne University of Applied Sciences and Arts · University of Basel · Seminar for Statistics, ETH Zurich