:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Zijing, Zeng, Chenhao, Ge, Shufei
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2512.18403
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bayesian scalar-on-network regression with applications to brain functional connectivity
by: Ju, Xiaomeng, et al.
Published: (2024)

Bayesian estimation of covariate assisted principal regression for brain functional connectivity
by: Park, Hyung G.
Published: (2023)

Bayesian inference for velocity-jump models for movement
by: Blackwell, Paul G.
Published: (2025)

Dynamic functional brain connectivity results depend on modeling assumptions: comparing frequentist and Bayesian hypothesis tests
by: Huijsdens, Hester, et al.
Published: (2025)

Simulation-based Bayesian inference under model misspecification
by: Kelly, Ryan P., et al.
Published: (2025)

Bayesian inference for the learning rate in Generalised Bayesian inference
by: Lee, Jeong Eun, et al.
Published: (2025)

Penalizing complexity priors for Bayesian inference of circular models
by: Ye, Xiang, et al.
Published: (2025)

Scalable skewed Bayesian inference for latent Gaussian models
by: Dutta, Shourya, et al.
Published: (2025)

Bayesian inference on Cox regression models using catalytic prior distributions
by: Li, Weihao, et al.
Published: (2023)

On robust Bayesian causal inference
by: Alexopoulos, Angelos, et al.
Published: (2025)

A spatial-correlated multitask linear mixed-effects model for imaging genetics
by: Pu, Zhibin, et al.
Published: (2024)

Connections as treatment: causal inference with edge interventions in networks
by: Chen, Shuli, et al.
Published: (2026)

Efficient Bayesian inference for two-stage models in environmental epidemiology
by: Larin, Konstantin, et al.
Published: (2025)

Objective Bayesian inference for the Dhillon distribution
by: Ramos, Pedro Luiz, et al.
Published: (2025)

Bayesian inference for aggregated Hawkes processes
by: Zhou, Lingxiao, et al.
Published: (2022)

Bayesian inference and cure rate modeling for event history data
by: Papastamoulis, Panagiotis, et al.
Published: (2023)

Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature
by: Li, Chengkun, et al.
Published: (2023)

Spectral domain likelihoods for Bayesian inference in time-varying parameter models
by: Gustafsson, Oskar, et al.
Published: (2024)

Calibrating hierarchical Bayesian domain inference for a proportion
by: Lei, Rayleigh, et al.
Published: (2025)

Bayesian inference of Latent Spectral Shapes
by: Yip, Hiu Ching, et al.
Published: (2024)

Approximate Bayesian inference for cumulative probit regression models
by: Aliverti, Emanuele
Published: (2025)

A new avenue for Bayesian inference with INLA
by: van Niekerk, Janet, et al.
Published: (2022)

Blessing of dimension in Bayesian inference on covariance matrices
by: Chattopadhyay, Shounak, et al.
Published: (2024)

Distribution-Free Bayesian multivariate predictive inference
by: Yekutieli, Daniel
Published: (2021)

Bayesian inference of vector autoregressions with tensor decompositions
by: Luo, Yiyong, et al.
Published: (2022)

Fast Bayesian inference in a class of sparse linear mixed effects models
by: Spyropoulou, M-Z., et al.
Published: (2024)

Sequential Bayesian inference for stochastic epidemic models of cumulative incidence
by: Whitaker, Sam A., et al.
Published: (2024)

Bayesian inference for ordinary differential equations models with heteroscedastic measurement error
by: Salimi, Selva, et al.
Published: (2026)

Non-parametric Bayesian inference via loss functions under model misspecification
by: Luo, Yu, et al.
Published: (2021)

Poisson Hyperplane Processes with Rectified Linear Units
by: Ge, Shufei, et al.
Published: (2026)

Bayesian Varying-Effects Vector Autoregressive Models for Inference of Brain Connectivity Networks and Covariate Effects in Pediatric Traumatic Brain Injury
by: Ren, Yangfan, et al.
Published: (2024)

Bayesian inference of sparsity in stable vector autoregressive processes
by: Heaps, Sarah E., et al.
Published: (2026)

A partial likelihood approach to tree-based density modeling and its application in Bayesian inference
by: Ma, Li, et al.
Published: (2024)

Bayesian inference for spatio-temporal hidden Markov models using the exchange algorithm
by: Tancini, Daniele, et al.
Published: (2025)

Non-centred Bayesian inference for discrete-valued state-transition models: the Rippler algorithm
by: Neill, James, et al.
Published: (2026)

Bayesian inference for scale mixtures of skew-normal linear models under the centered parameterization
by: de Freitas, João Victor B., et al.
Published: (2024)

Multi-objective Bayesian optimization for Likelihood-Free inference in sequential sampling models of decision making
by: Chen, David, et al.
Published: (2024)

A likelihood-based Bayesian inference framework for the calibration of and selection between stochastic velocity-jump models
by: Ceccarelli, Arianna, et al.
Published: (2025)

Robust Bayesian methods using amortized simulation-based inference
by: Yuyan, Wang, et al.
Published: (2025)

Bayesian Topological Analysis of Functional Brain Networks
by: Zhu, Xukun, et al.
Published: (2025)