Cover Image

Scalable Estimation of Crossed Random Effects Models via Multi-way Grouping

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Takeishi, Shota, Sugasawa, Shonosuke
Format:	Preprint
Published:	2025
Subjects:	Methodology Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Causal Small Area Estimation with Survey-only Covariates
by: Ito, Tsubasa, et al.
Published: (2026)

A Shrinkage Likelihood Ratio Test for High-Dimensional Subgroup Analysis with a Logistic-Normal Mixture Model
by: Takeishi, Shota
Published: (2023)

Posterior Robustness with Milder Conditions: Contamination Models Revisited
by: Hamura, Yasuyuki, et al.
Published: (2023)

Regression Adjustment for Estimating Distributional Treatment Effects in Randomized Controlled Trials
by: Oka, Tatsushi, et al.
Published: (2024)

Propensity Patchwork Kriging for Scalable Inference on Heterogeneous Treatment Effects
by: Ogawa, Hajime, et al.
Published: (2025)

Modeling Covariate Transition for Efficient Estimation of Longitudinal Treatment Effects in Randomized Experiments
by: Chihara, Naoki, et al.
Published: (2026)

Prior Sensitivity Analysis without Model Re-fit
by: Sugasawa, Shonosuke
Published: (2024)

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

The Group R2D2 Shrinkage Prior for Sparse Linear Models with Grouped Covariates
by: Yanchenko, Eric, et al.
Published: (2024)

Sandwich Boosting for Accurate Estimation in Partially Linear Models for Grouped Data
by: Young, Elliot H., et al.
Published: (2023)

Cross-Validation with Antithetic Gaussian Randomization
by: Liu, Sifan, et al.
Published: (2024)

Nonparametric f-Modeling for Empirical Bayes Inference with Unequal and Unknown Variances
by: Zhao, Zhigen, et al.
Published: (2026)

Noise-Robust Phase Connectivity Estimation via Bayesian Circular Functional Models
by: Sugasawa, Shonosuke, et al.
Published: (2025)

Causal Inference under Threshold Manipulation: Bayesian Mixture Modeling and Heterogeneous Treatment Effects
by: Kubota, Kohsuke, et al.
Published: (2025)

Bayesian Benchmarking Small Area Estimation via Entropic Tilting
by: Sugasawa, Shonosuke, et al.
Published: (2024)

Sparse PCA: A New Scalable Estimator Based On Integer Programming
by: Behdin, Kayhan, et al.
Published: (2021)

Testing Random Effects for Binomial Data
by: Kania, Lucas, et al.
Published: (2025)

Estimation and Inference for the Average Treatment Effect in a Score-Explained Heterogeneous Treatment Effect Model
by: Wibisono, Kevin Christian, et al.
Published: (2025)

Model-Agnostic Bounds for Augmented Inverse Probability Weighted Estimators' Wald-Confidence Interval Coverage in Randomized Controlled Trials
by: Qiu, Hongxiang
Published: (2025)

Estimation of the Spectral Measure from ConvexCombinations of Regularly Varying RandomVectors
by: Oesting, Marco, et al.
Published: (2020)

Flexible Functional Treatment Effect Estimation
by: Wang, Jiayi, et al.
Published: (2023)

Hypothesis Testing for Penalized Estimating Equations with Cross-Fitted Covariance Calibration
by: Zhou, Jing, et al.
Published: (2026)

Doubly Robust Estimation with Stabilized Weights for Binary Proximal Outcomes in Micro-Randomized Trials
by: Cha, Jinho, et al.
Published: (2025)

Increasing dimension asymptotics for two-way crossed mixed effect models
by: Lyu, Ziyang, et al.
Published: (2024)

Cross-validation Approaches for Multi-study Predictions
by: Ren, Boyu, et al.
Published: (2020)

Ensemble Prediction via Covariate-dependent Stacking
by: Wakayama, Tomoya, et al.
Published: (2024)

Adjusting for Incomplete Baseline Covariates in Randomized Controlled Trials: A Cross-World Imputation Framework
by: Song, Yilin, et al.
Published: (2023)

Direct Bayesian Additive Regression Trees for Conditional Average Treatment Effects in Regression Discontinuity Designs
by: Kondo, Daisuke, et al.
Published: (2026)

On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models
by: Zhang, Yangjing, et al.
Published: (2022)

Variance Estimation for Weighted Average Treatment Effects
by: Li, Huiyue, et al.
Published: (2025)

Robustness and Efficiency of Rosenbaum's Rank-based Estimator in Randomized Trials: A Design-based Perspective
by: Ghosh, Aditya, et al.
Published: (2021)

Highly Multivariate Large-scale Spatial Stochastic Processes -- A Cross-Markov Random Field Approach
by: Chen, Xiaoqing, et al.
Published: (2024)

Multi-Scale CUSUM Tests for Time Dependent Spherical Random Fields
by: Caponera, Alessia, et al.
Published: (2023)

Doubly-Robust Functional Average Treatment Effect Estimation
by: Testa, Lorenzo, et al.
Published: (2025)

System Reliability Estimation via Shrinkage
by: Qiang, Beidi, et al.
Published: (2025)

Nonparametric Estimation of Mediation Effects with A General Treatment
by: Huang, Lukang, et al.
Published: (2022)

Nonparametric Estimation via Partial Derivatives
by: Dai, Xiaowu
Published: (2022)

Statistical Inference for Random Unknowns via Modifications of Extended Likelihood
by: Lee, Hangbin, et al.
Published: (2023)

Efficient Bayesian Inference in the Cox Model via Rank-Ordered Likelihood
by: Ohigashi, Tomohiro, et al.
Published: (2026)

The Bayesian Intransitive Bradley-Terry Model via Combinatorial Hodge Theory
by: Okahara, Hisaya, et al.
Published: (2026)