Cover Image

A Hierarchical Random Effects State-space Model for Modeling Brain Activities from Electroencephalogram Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guo, Xingche, Yang, Bin, Loh, Ji Meng, Wang, Qinxia, Wang, Yuanjia
Format:	Preprint
Published:	2023
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HMM for Discovering Decision-Making Dynamics Using Reinforcement Learning Experiments
by: Guo, Xingche, et al.
Published: (2024)

Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes
by: Xu, Tianchen, et al.
Published: (2023)

Cumulative Marginal Mean Model for Assessing Sequential Effects Using Digital Health Data
by: Guo, Xingche, et al.
Published: (2025)

Shared hidden-factor information framework for multiple behavioral tasks
by: Bian, Yuan, et al.
Published: (2026)

Integrative learning of individualized treatment rules from multiple studies with partially overlapping treatments
by: Bian, Yuan, et al.
Published: (2026)

Statistical Inference for Heterogeneous Treatment Effect with Right-censored Data from Synthesizing Randomized Clinical Trials and Real-world Data
by: Mao, Guangcai, et al.
Published: (2025)

Joint modeling for learning decision-making dynamics in behavioral experiments
by: Bian, Yuan, et al.
Published: (2025)

Joint Modeling of Longitudinal EHR Data with Shared Random Effects for Informative Visiting and Observation Processes
by: Yang, Cheng-Han, et al.
Published: (2026)

Fusing Individualized Treatment Rules Using Secondary Outcomes
by: Gao, Daiqi, et al.
Published: (2024)

MUCE: Bayesian Hierarchical Modeling for the Design and Analysis of Phase 1b Multiple Expansion Cohort Trials
by: Lyu, Jiaying, et al.
Published: (2020)

Bayesian Hierarchical Model for Synthesizing Registry and Survey Data on Female Breast Cancer Prevalence
by: Wang, Qiao, et al.
Published: (2024)

Random Effect Restricted Mean Survival Time Model
by: Hanada, Keisuke, et al.
Published: (2024)

A Scalable Exponential Random Graph Model: Amortised Hierarchical Sequential Neural Posterior Estimation with Applications in Neuroscience
by: Fan, Yefeng, et al.
Published: (2025)

Identifying Treatment Effect Heterogeneity with Bayesian Hierarchical Adjustable Random Partition in Adaptive Enrichment Trials
by: Zhao, Xianglin, et al.
Published: (2025)

Modeling Time-Varying Effects of Mobile Health Interventions Using Longitudinal Functional Data from HeartSteps Micro-Randomized Trial
by: Yu, Jiaxin, et al.
Published: (2024)

Robust Spectral Fuzzy Clustering of Multivariate Time Series with Applications to Electroencephalogram
by: Ma, Ziling, et al.
Published: (2025)

Hierarchical Count Echo State Network Models with Application to Graduate Student Enrollments
by: Wang, Qi, et al.
Published: (2025)

Bayesian Hierarchical Modeling for Bivariate Multiscale Spatial Data with Application to Blood Test Monitoring
by: Zhou, Shijie, et al.
Published: (2023)

Dynamic Classification of Latent Disease Progression with Auxiliary Surrogate Labels
by: Cai, Zexi, et al.
Published: (2024)

Visualisation for Exploratory Modelling Analysis of Bayesian Hierarchical Models
by: Akinfenwa, Oluwayomi, et al.
Published: (2024)

Model-Twin Randomization (MoTR) for Estimating the Recurring Individual Treatment Effect
by: Daza, Eric J., et al.
Published: (2022)

Random Effects Misspecification and its Consequences for Prediction in Generalized Linear Mixed Models
by: Vu, Quan, et al.
Published: (2024)

Functional Factor Modeling of Brain Connectivity
by: Stanley, Kyle, et al.
Published: (2024)

Attractor-Based Coevolving Dot Product Random Graph Model
by: Yang, Shiwen, et al.
Published: (2025)

Anchored Variational Inference for Personalized Sequential Latent-State Models
by: Guo, Xingche
Published: (2026)

Generalizing Trimming Bounds for Endogenously Missing Outcome Data Using Random Forests
by: Samii, Cyrus, et al.
Published: (2023)

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

A Fully Bayesian Approach for Comprehensive Mapping of Magnitude and Phase Brain Activation in Complex-Valued fMRI Data
by: Wang, Zhengxin, et al.
Published: (2024)

Modeling Spatial Heterogeneity in Exposure Buffers and Risk: A Hierarchical Bayesian Approach
by: Comess, Saskia, et al.
Published: (2025)

Evaluating Aggregated Relational Data Models with Simple Diagnostics
by: Laga, Ian, et al.
Published: (2026)

Bayesian Hierarchical Modeling and Inference for Mechanistic Systems in Industrial Hygiene
by: Pan, Soumyakanti, et al.
Published: (2023)

Spectral Extremal Connectivity of Two-State Seizure Brain Waves
by: Talento, Mara Sherlin D., et al.
Published: (2025)

Inspection-Guided Randomization: A Flexible and Transparent Restricted Randomization Framework for Better Experimental Design
by: Wang, Maggie, et al.
Published: (2024)

Multivariable Bidirectional Mendelian Randomization via Bayesian Directed Cyclic Graphical Models with Correlated Errors
by: Sarkar, Bitan, et al.
Published: (2025)

Bayesian Hierarchical Modelling of Noisy Gamma Processes: Model Formulation, Identifiability, Model Fitting, and Extensions to Unit-to-Unit Variability
by: Leadbetter, Ryan, et al.
Published: (2024)

Macroscopic Activity-Based Modeling of Urban Active Mobility
by: Azaïs, Romain, et al.
Published: (2026)

Hierarchical Bayesian Models to Mitigate Systematic Disparities in Prediction with Proxy Outcomes
by: Mikhaeil, Jonas, et al.
Published: (2024)

Model Selection for Maternal Hypertensive Disorders with Symmetric Hierarchical Dirichlet Processes
by: Franzolini, Beatrice, et al.
Published: (2022)

A Bayesian Integrative Mixed Modeling Framework for Analysis of the Adolescent Brain and Cognitive Development Study
by: Neher, Aidan, et al.
Published: (2025)

Analysing Opportunity Cost of Care Work using Mixed Effects Random Forests under Aggregated Auxiliary Data
by: Krennmair, Patrick, et al.
Published: (2022)