Cover Image

Bayesian Non-Homogeneous Hidden Markov Model with Variable Selection for Investigating Drivers of Seizure Risk Cycling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Emily T., Chiang, Sharon, Haneef, Zulfi, Rao, Vikram R., Moss, Robert, Vannucci, Marina
Format:	Preprint
Published:	2022
Subjects:	Applications Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bayesian Scalar-on-Tensor Quantile Regression for Longitudinal Data on Alzheimer's Disease
by: Lyu, Rongke, et al.
Published: (2026)

Bayesian Bivariate Conway-Maxwell-Poisson Regression Model for Correlated Count Data in Sports
by: Florez, Mauro, et al.
Published: (2024)

Bayesian Covariate-Dependent Circadian Modeling of Rest-Activity Rhythms
by: Hadj-Amar, Beniamino, et al.
Published: (2025)

Bayesian network-guided sparse regression with flexible varying effects
by: Ren, Yangfan, et al.
Published: (2024)

A Bayesian Approach for Inference on Mixed Graphical Models
by: Florez, Mauro, et al.
Published: (2025)

Optimal Stock Portfolio Selection with a Multivariate Hidden Markov Model
by: Majumder, Reetam, et al.
Published: (2024)

Combining chains of Bayesian models with Markov melding
by: Manderson, Andrew A., et al.
Published: (2021)

Hidden Markov Individual-level Models of Infectious Disease Transmission
by: Douwes-Schultz, Dirk, et al.
Published: (2026)

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

A Beta-GAM Hidden Markov Model for Proportion Time Series
by: Nigri, Andrea, et al.
Published: (2026)

Hidden semi-Markov models with inhomogeneous state dwell-time distributions
by: Koslik, Jan-Ole
Published: (2024)

Bayesian temporal biclustering with applications to multi-subject neuroscience studies
by: Ricci, Federica Zoe, et al.
Published: (2024)

Bayesian Variable Selection for High-Dimensional Mediation Analysis: Application to Metabolomics Data in Epidemiological Studies
by: Bae, Youngho, et al.
Published: (2024)

Variable Selection with Broken Adaptive Ridge Regression for Interval-Censored Competing Risks Data
by: Mahmoudi, Fatemeh, et al.
Published: (2025)

Hidden Markov models with an unknown number of states and a repulsive prior on the state parameters
by: Rotous, Ioannis, et al.
Published: (2024)

Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
by: Dempsey, Daniel, et al.
Published: (2024)

Bayesian Latent Class Regression and Variable Selection with Applications to Sleep Patterns Data
by: Heaney, Matthew, et al.
Published: (2025)

BMRMM: An R Package for Bayesian Markov (Renewal) Mixed Models
by: Wu, Yutong, et al.
Published: (2024)

A Symmetric Random Scan Collapsed Gibbs Sampler for Fully Bayesian Variable Selection with Spike-and-Slab Priors
by: Chung, Mengta
Published: (2026)

Stabilizing Variable Selection and Regression
by: Pfister, Niklas, et al.
Published: (2019)

Bayesian Record Linkage with Variables in One File
by: Kamat, Gauri, et al.
Published: (2023)

A Finite Mixture Hidden Markov Model for Intermittently Observed Disease Process with Heterogeneity and Partially Known Disease Type
by: Shi, Yidan, et al.
Published: (2024)

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

Variable Selection in Functional Linear Cox Model
by: Yue, Yuanzhen, et al.
Published: (2025)

Sequential Hierarchical Regression Imputation with Variable Selection Routines
by: Li, Qiushuang, et al.
Published: (2025)

A Unified Bayesian Framework for Mortality Model Selection
by: Diana, Alex, et al.
Published: (2024)

Local Variable and Neighborhood Selection for Firearm Fatality in the Southeast USA
by: Thakur, Debjoy, et al.
Published: (2026)

Dominating Hyperplane Regularization for Variable Selection in Multivariate Count Regression
by: Cooper, Alysha, et al.
Published: (2025)

Experimentation for Homogenous Policy Change
by: Offer-Westort, Molly, et al.
Published: (2021)

A Markov Chain Modeling Approach for Predicting Relative Risks of Spatial Clusters in Public Health
by: Iamrache, Lyza, et al.
Published: (2025)

Bayesian estimation of clustered dependence structures in functional neuroconnectivity
by: Kim, Hyoshin, et al.
Published: (2023)

VT-MRF-SPF: Variable Target Markov Random Field Scalable Particle Filter
by: Ning, Ning
Published: (2024)

Bayesian Nonparametric Risk Assessment in Developmental Toxicity Studies with Ordinal Responses
by: Kang, Jizhou, et al.
Published: (2024)

A Bayesian Joint Modelling for Misclassified Interval-censoring and Competing Risks
by: Yang, Zhenwei, et al.
Published: (2024)

Bayesian hidden Markov models for latent variable labeling assignments in conflict research: application to the role ceasefires play in conflict dynamics
by: Williams, Jonathan P, et al.
Published: (2021)

Group Identification and Variable Selection in Multivariable Mendelian Randomization with Highly-Correlated Exposures
by: Wu, Yinxiang, et al.
Published: (2025)

Variable Selection for Multi-Source Count Data with Controlled False Discovery Rate
by: Tang, Shan, et al.
Published: (2024)

A Bayesian Nonparametric Approach for Semi-Competing Risks with Application to Cardiovascular Health
by: Gelis-Cadena, Karina, et al.
Published: (2025)

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

Bayesian Probit Multi-Study Non-negative Matrix Factorization for Mutational Signatures
by: Hansen, Blake, et al.
Published: (2025)