:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ma, Tianwen, Huggins, Jane E., Kang, Jian
Format:	Preprint
Published:	2024
Subjects:	Applications Computation
Online Access:	https://arxiv.org/abs/2401.07111
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Adaptive Semi-Supervised Training of P300 ERP-BCI Speller System with Minimum Calibration Effort
by: Chen, Shumeng, et al.
Published: (2026)

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

Scalable Bayesian Image-on-Scalar Regression for Population-Scale Neuroimaging Data Analysis
by: Xu, Yuliang, et al.
Published: (2024)

Bayesian Transfer Learning for High-Dimensional Linear Regression via Adaptive Shrinkage
by: Jamshidian, Parsa, et al.
Published: (2025)

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

Sequential Bayesian Experimental Design for Prediction in Physical Experiments Informed by Computer Models
by: Zhu, Hao, et al.
Published: (2026)

A Bayesian Adaptive Latent Mixture Model for Zero-Inflated Weighted Brain Connectome Analysis
by: Huang, Hsin-Hsiung, et al.
Published: (2026)

Computationally Scalable Bayesian SPDE Modeling for Censored Spatial Responses
by: Sahoo, Indranil, et al.
Published: (2024)

Bayesian Statistical Inversion for High-Dimensional Computer Model Output and Spatially Distributed Counts
by: Barnett, Steven D., et al.
Published: (2025)

Fast Bayesian inference for spatial mean-parameterized Conway-Maxwell-Poisson models
by: Kang, Bokgyeong, et al.
Published: (2023)

Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study
by: O'Gara, David, et al.
Published: (2024)

A Nonparametric Bayesian Local-Global Model for Enhanced Adverse Event Signal Detection in Spontaneous Reporting System Data
by: Huang, Xin-Wei, et al.
Published: (2025)

Analysis of Patterns in Recorded Signals of Software Systems With a Variance Based Segmentation Algorithm
by: Lukić, Bojan, et al.
Published: (2025)

Software‐Oriented Collaborative Project‐Based Learning of Biomedical Signal Processing in Simulated Industry‐Like Conditions
by: Tomasz Pieciak, et al.
Published: (2025)

Generative Bayesian Computation as a Scalable Alternative to Gaussian Process Surrogates
by: Polson, Nick, et al.
Published: (2026)

Development of COVID-19 Booster Vaccine Policy by Microsimulation and Q-learning
by: Ma, Guoxuan, et al.
Published: (2024)

Integrating Computational Thinking Into Immersive Construction Education: A Framework for VR‐Based Learning
by: Rahat Hussain, et al.
Published: (2026)

A Project‐Based Learning Approach: Designing MATLAB‐Aligned Mixed‐Signal Circuit Components With Open Source Tools
by: Xiaopeng Yu, et al.
Published: (2026)

Alignment of Continuous Brain Connectivity
by: Cole, Martin, et al.
Published: (2025)

Investigating Complex HPV Dynamics Using Emulation and History Matching
by: Iskauskas, Andrew, et al.
Published: (2024)

Bayesian Optimization Sequential Surrogate (BOSS) Algorithm: Fast Bayesian Inference for a Broad Class of Bayesian Hierarchical Models
by: Li, Dayi, et al.
Published: (2024)

Correction to “A Project‐Based Learning Approach: Designing MATLAB‐Aligned Mixed‐Signal Circuit Components With Open Source Tools”
Published: (2026)

Effect of AI‐Based Learning on Students' Computational Thinking Development: Evidence From a Meta‐Analysis
by: Gexing Cheng, et al.
Published: (2025)

Dynamic Reconfiguration of Brain Functional Network in Stroke
by: Wu, Kaichao, et al.
Published: (2023)

Bayesian inference for the Markov-modulated Poisson process with an outcome process
by: Luo, Yu, et al.
Published: (2024)

Disclosure risk assessment with Bayesian non-parametric hierarchical modelling
by: Battiston, Marco, et al.
Published: (2024)

Adaptive tempered reversible jump algorithm for Bayesian curve fitting
by: Tian, Zhiyao, et al.
Published: (2024)

Kernel-Based Learning of Chest X-ray Images for Predicting ICU Escalation among COVID-19 Patients
by: Shi, Qiyuan, et al.
Published: (2026)

Advances in Bayesian Modeling: Applications and Methods
by: Yan, Yifei, et al.
Published: (2025)

Graph-Based Audits for Meek Single Transferable Vote Elections
by: Heitzmann, Edouard
Published: (2026)

Generalized Score Matching
by: Xu, Jiazhen, et al.
Published: (2023)

Learning non-Gaussian spatial distributions via Bayesian transport maps with parametric shrinkage
by: Chakraborty, Anirban, et al.
Published: (2024)

Adaptive sequential Monte Carlo for structured cross validation in Bayesian hierarchical models
by: Han, Geonhee, et al.
Published: (2025)

Application of Black-Litterman Bayesian in Statistical Arbitrage
by: Zhou, Qiqin
Published: (2024)

Measuring the Impact of Web‐Based Educational Tools on Enhancing Student Learning Indicators in Programming Skills, Computational Thinking, and Problem‐Solving
by: Mohammed Yahya Alghamdi
Published: (2025)

Theoretical and Practical Limits of Kolmogorov-Zurbenko Periodograms with Dynamic Smoothing in Estimating Signal Frequencies
by: Loneck, Barry, et al.
Published: (2020)

Bind Recovery of Sparse Factor Structures by Signal Cancellation
by: Achim, André
Published: (2024)

Design of Experimental System for Simulation of Heat Transfer Phenomenon Based on Physics‐Informed Neural Network
by: Zhang Lina, et al.
Published: (2025)

Bayesian Deep Count Regression and Anomaly Detection: Evidence from GDELT Event Panels
by: Huang, Hsin-Hsiung, et al.
Published: (2026)