:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Hamura, Yasuyuki
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2410.10618
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

State-Space Modeling of Shape-constrained Functional Time Series
by: Hiraki, Daichi, et al.
Published: (2024)

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

A Short Note on the Efficiency of Markov Chains for Bayesian Linear Regression Models with Heavy-Tailed Errors
by: Hamura, Yasuyuki
Published: (2024)

Geometric Ergodicity of Gibbs Algorithms for a Normal Model With a Global-Local Shrinkage Prior
by: Hamura, Yasuyuki
Published: (2025)

Using the Softplus Function to Construct Alternative Link Functions in Generalized Linear Models and Beyond
by: Wiemann, Paul F. V., et al.
Published: (2021)

High Dimensional Gaussian and Bootstrap Approximations in Generalized Linear Models
by: Choudhury, Mayukh, et al.
Published: (2026)

Approximate Likelihood-Based Inference for Spatial Generalized Linear Mixed Models
by: Watson, Samuel I., et al.
Published: (2026)

A Bayesian Convolutional Neural Network-based Generalized Linear Model
by: Jeon, Yeseul, et al.
Published: (2022)

Near-Optimal Approximations for Bayesian Inference in Function Space
by: Wild, Veit, et al.
Published: (2025)

Bayesian inference for stochastic oscillatory systems using the phase-corrected Linear Noise Approximation
by: Swallow, Ben, et al.
Published: (2022)

Approximate Bayesian Inference for Structural Equation Models using Integrated Nested Laplace Approximations
by: Jamil, Haziq, et al.
Published: (2026)

Advances in Approximate Bayesian Inference for Models in Epidemiology
by: Li, Xiahui, et al.
Published: (2025)

Bayesian Group Regularization in Generalized Linear Models with a Continuous Spike-and-Slab Prior
by: Bai, Ray
Published: (2020)

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

Approximate Bayesian Computation with Statistical Distances for Model Selection
by: Grazian, Clara
Published: (2024)

Robustifying Approximate Bayesian Computation
by: Weerasinghe, Chaya, et al.
Published: (2025)

kDGLM: a R package for Bayesian analysis of Generalized Dynamic Linear Models
by: Santos Jr., Silvaneo V. dos, et al.
Published: (2024)

hdbayes: An R Package for Bayesian Analysis of Generalized Linear Models Using Historical Data
by: Alt, Ethan M., et al.
Published: (2025)

Goodness-of-fit Test for Generalized Functional Linear Models via Projection Averaging
by: Chen, Feifei, et al.
Published: (2025)

Residual-based Alternative Partial Least Squares for Generalized Functional Linear Models
by: Wang, Yue, et al.
Published: (2025)

Measure Selection for Functional Linear Model
by: Iao, Su I, et al.
Published: (2025)

Stochastic Approximation Cut Algorithm for Inference in Modularized Bayesian Models
by: Liu, Yang, et al.
Published: (2020)

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

Permutations accelerate Approximate Bayesian Computation
by: Luciano, Antoine, et al.
Published: (2025)

High-Dimensional Mediation Analysis for Generalized Linear Models Using Bayesian Variable Selection Guided by Mediator Correlation
by: Bae, Youngho, et al.
Published: (2026)

Approximate Factor Models for Functional Time Series
by: Otto, Sven, et al.
Published: (2022)

Functional Linear Cox Regression Model with Frailty
by: Inan, Deniz, et al.
Published: (2025)

Model Uncertainty in Latent Gaussian Models with Univariate Link Function
by: Steel, Mark F. J., et al.
Published: (2024)

Approximate Bayesian Computation with Deep Learning and Conformal prediction
by: Baragatti, Meili, et al.
Published: (2024)

Bayesian Functional Graphical Models with Change-Point Detection
by: Liu, Chunshan, et al.
Published: (2024)

Marginal Inference for Hierarchical Generalized Linear Mixed Models with Patterned Covariance Matrices Using the Laplace Approximation
by: Hoef, Jay M. Ver, et al.
Published: (2023)

G-HIVE: Parameter Estimation and Approximate Inference for Multivariate Response Generalized Linear Models with Hidden Variables
by: Lee, Inbeom, et al.
Published: (2025)

Bayesian Function-on-Function Regression for Spatial Functional Data
by: Lee, Heesang, et al.
Published: (2024)

Scalable Bayesian Inference for Generalized Linear Mixed Models via Stochastic Gradient MCMC
by: Berchuck, Samuel I., et al.
Published: (2024)

Robust Bayesian Model Averaging for Linear Regression Models With Heavy-Tailed Errors
by: De, Shamriddha, et al.
Published: (2024)

On an Empirical Likelihood based Solution to the Approximate Bayesian Computation Problem
by: Chaudhuri, Sanjay, et al.
Published: (2024)