Cover Image

Sub-model aggregation for scalable eigenvector spatial filtering: Application to spatially varying coefficient modeling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Murakami, Daisuke, Sugasawa, Shonosuke, Seya, Hajime, Griffith, Daniel A.
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sub‐Model Aggregation for Scalable Eigenvector Spatial Filtering: Application to Spatially Varying Coefficient Modeling
by: Daisuke Murakami, et al.
Published: (2024)

Coarse-to-fine spatial modeling: A scalable, machine-learning-compatible spatial model
by: Murakami, Daisuke, et al.
Published: (2025)

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

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

Spatiotemporal factor models for functional data with application to population map forecast
by: Wakayama, Tomoya, et al.
Published: (2023)

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

Hierarchical Regression Discontinuity Design: Pursuing Subgroup Treatment Effects
by: Sugasawa, Shonosuke, et al.
Published: (2023)

Coarse-to-fine spatial GLMM for scalable prediction and multiscale analysis
by: Murakami, Daisuke, et al.
Published: (2026)

Fast spatio-temporally varying coefficient modeling with reluctant interaction selection
by: Murakami, Daisuke, et al.
Published: (2024)

General Bayesian quantile regression for counts via generative modeling
by: Yamauchi, Yuta, et al.
Published: (2024)

Modeling heterogeneity in higher-order moments while preserving mean and variance: application to spatio-temporal modeling
by: Kuno, Hajime, et al.
Published: (2024)

Spatially-dependent Indian Buffet Processes
by: Sugasawa, Shonosuke, et al.
Published: (2024)

Repulsive g-Priors for Regression Mixtures
by: Hayashida, Yuta, et al.
Published: (2025)

Difference-in-Differences under Local Dependence on Networks
by: Sato, Akihiro, et al.
Published: (2026)

Efficient Prior Sensitivity and Tipping-point Analysis for Medical Research: Revisiting Sampling Importance Resampling
by: Ohigashi, Tomohiro, et al.
Published: (2025)

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

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

Scalable Estimation of Crossed Random Effects Models via Multi-way Grouping
by: Takeishi, Shota, et al.
Published: (2025)

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

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

Estimation of time-varying treatment effects using marginal structural models dependent on partial treatment history
by: Seya, Nodoka, et al.
Published: (2024)

Sequential Adaptive Priors for Orthogonal Functions
by: Sugasawa, Shonosuke, et al.
Published: (2025)

Efficient bayesian spatially varying coefficients modeling for censored data using the vecchia approximation
by: Idir, Yacine Mohamed, et al.
Published: (2025)

SAR models with specific spatial coefficients and heteroskedastic innovations
by: Cruz, N. A., et al.
Published: (2025)

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

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

Outlier-Robust Bayesian Multivariate Analysis with Correlation-Intact Sandwich Mixture
by: Hamura, Yasuyuki, et al.
Published: (2025)

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

Bayesian Doubly Robust Causal Inference via Posterior Coupling
by: Orihara, Shunichiro, et al.
Published: (2025)

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

Robust Bayesian Modeling of Counts with Zero inflation and Outliers: Theoretical Robustness and Efficient Computation
by: Hamura, Yasuyuki, et al.
Published: (2021)

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

Similarity-based Random Partition Distribution for Clustering Functional Data
by: Wakayama, Tomoya, et al.
Published: (2023)

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

Clustered Factor Analysis for Multivariate Spatial Data
by: Jin, Yanxiu, et al.
Published: (2024)

On Misspecified Error Distributions in Bayesian Functional Clustering: Consequences and Remedies
by: Iwashige, Fumiya, et al.
Published: (2025)

Locally Adaptive Bayesian Isotonic Regression using Half Shrinkage Priors
by: Okano, Ryo, et al.
Published: (2022)

Contrastive Bayesian Inference for Unnormalized Models
by: Sonobe, Naruki, et al.
Published: (2026)

Tree-Embedded Bayesian Factor Models for Multidimensional Categorical Distributions
by: Awaya, Naoki, et al.
Published: (2026)

Robust Bayesian Inference for Censored Survival Models
by: Hamura, Yasuyuki, et al.
Published: (2025)