Cover Image

Sparse Bayesian Modeling of EEG Channel Interactions Improves P300 Brain-Computer Interface Performance

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ma, Guoxuan, Zhong, Yuan, Li, Moyan, Nie, Yuxiao, Kang, Jian
Format:	Preprint
Published:	2026
Subjects:	Methodology Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adaptive Bayesian Multivariate Spline Knot Inference with Prior Specifications on Model Complexity
by: He, Junhui, et al.
Published: (2024)

Bayesian Functional Analysis for Untargeted Metabolomics Data with Matching Uncertainty and Small Sample Sizes
by: Ma, Guoxuan, et al.
Published: (2023)

Bayesian Inference of Spatially Varying Correlations via the Thresholded Correlation Gaussian Process
by: Li, Moyan, et al.
Published: (2024)

Sparse Bayesian Multidimensional Item Response Theory
by: Li, Jiguang, et al.
Published: (2023)

Sparse Gaussian Graphical Models with Discrete Optimization: Computational and Statistical Perspectives
by: Behdin, Kayhan, et al.
Published: (2023)

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

Scalable Bayesian inference for heat kernel Gaussian processes on manifolds
by: He, Junhui, et al.
Published: (2024)

Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models
by: Scheurer, Stefania, et al.
Published: (2025)

Bayesian Image-on-Image Regression via Deep Kernel Learning based Gaussian Processes
by: Ma, Guoxuan, et al.
Published: (2023)

Testing and Improving the Robustness of Amortized Bayesian Inference for Cognitive Models
by: Wu, Yufei, et al.
Published: (2024)

Empirical Bayes Covariance Decomposition, and a Solution to the Multiple Tuning Problem in Sparse PCA
by: Kang, Joonsuk, et al.
Published: (2023)

Improving Active Learning with a Bayesian Representation of Epistemic Uncertainty
by: Thomas, Jake, et al.
Published: (2024)

Change Point Detection with Copula Entropy based Two-Sample Test
by: Ma, Jian
Published: (2024)

Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis
by: Zhu, Haonan, et al.
Published: (2025)

Bayesian Inference on Brain-Computer Interfaces via GLASS
by: Zhao, Bangyao, et al.
Published: (2023)

Conditional Hierarchical Bayesian Tucker Decomposition for Genetic Data Analysis
by: Sandler, Adam, et al.
Published: (2019)

Better Locally Private Sparse Estimation Given Multiple Samples Per User
by: Ma, Yuheng, et al.
Published: (2024)

Identifiable Deep Generative Models via Sparse Decoding
by: Moran, Gemma E., et al.
Published: (2021)

BaGGLS: A Bayesian Shrinkage Framework for Interpretable Modeling of Interactions in High-Dimensional Biological Data
by: Lemanczyk, Marta S., et al.
Published: (2025)

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation
by: Elsemüller, Lasse, et al.
Published: (2025)

BVSIMC: Bayesian Variable Selection-Guided Inductive Matrix Completion for Improved and Interpretable Drug Discovery
by: Fan, Sijian, et al.
Published: (2026)

Estimating heterogeneous treatment effects with survival outcomes via a deep survival learner
by: Sun, Yuming, et al.
Published: (2026)

Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models
by: Banerjee, Sudipto, et al.
Published: (2022)

Federated Variational Inference for Bayesian Mixture Models
by: Rao, Jackie, et al.
Published: (2025)

Improving Finite Sample Performance of Causal Discovery by Exploiting Temporal Structure
by: Bang, Christine W, et al.
Published: (2024)

The Contextual Lasso: Sparse Linear Models via Deep Neural Networks
by: Thompson, Ryan, et al.
Published: (2023)

Bayesian Data Sketching for Varying Coefficient Regression Models
by: Guhaniyogi, Rajarshi, et al.
Published: (2025)

Fitting Sparse Markov Models to Categorical Time Series Using Convex Clustering
by: Majumder, Tuhin, et al.
Published: (2022)

Dynamic Topic Modeling with a Higher-Order Hypergraphical Representation
by: Gao, Hanjia, et al.
Published: (2026)

Proximal Projection for Doubly Sparse Regularized Models
by: He, Jia Wei, et al.
Published: (2026)

Simulation-Based Prior Knowledge Elicitation for Parametric Bayesian Models
by: Bockting, Florence, et al.
Published: (2023)

Bayesian Event-Based Model for Disease Subtype and Stage Inference
by: Hao, Hongtao, et al.
Published: (2025)

Wahkon: A Statistically Principled Deep RKHS Superposition Network
by: Chen, Yongkai, et al.
Published: (2026)

Unifying Summary Statistic Selection for Approximate Bayesian Computation
by: Hoffmann, Till, et al.
Published: (2022)

Improving the stability of the covariance-controlled adaptive Langevin thermostat for large-scale Bayesian sampling
by: Wei, Jiani, et al.
Published: (2025)

Bayesian Semi-Parametric Spatial Dispersed Count Model for Precipitation Analysis
by: Nadifar, Mahsa, et al.
Published: (2025)

Bayesian Federated Inference for Survival Models
by: Pazira, Hassan, et al.
Published: (2024)

Penalized Generative Variable Selection
by: Wang, Tong, et al.
Published: (2024)

Quantifying predictive uncertainty of aphasia severity in stroke patients with sparse heteroscedastic Bayesian high-dimensional regression
by: Zgodic, Anja, et al.
Published: (2023)

Robust and Sparse Regression in GLM by Stochastic Optimization
by: Kawashima, Takayuki, et al.
Published: (2018)