Saved in:
| Main Authors: | Liao, Jiankan, Huan, Xun, Cooper, Daniel |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.05556 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Intelligent data collection for network discrimination in material flow analysis using Bayesian optimal experimental design
by: Liao, Jiankan, et al.
Published: (2025)
by: Liao, Jiankan, et al.
Published: (2025)
Expert Elicitation and Data Noise Learning for Material Flow Analysis using Bayesian Inference
by: Dong, Jiayuan, et al.
Published: (2022)
by: Dong, Jiayuan, et al.
Published: (2022)
Data-Driven Bayesian Network Models of Hurricane Evacuation Decision Making
by: Wang, Hui Sophie, et al.
Published: (2023)
by: Wang, Hui Sophie, et al.
Published: (2023)
Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective
by: Feldman, Joseph, et al.
Published: (2023)
by: Feldman, Joseph, et al.
Published: (2023)
A Likelihood-Free Approach to Goal-Oriented Bayesian Optimal Experimental Design
by: Chakraborty, Atlanta, et al.
Published: (2024)
by: Chakraborty, Atlanta, et al.
Published: (2024)
On the Impact of Biological Risk in Aquaculture Valuation and Decision Making
by: Ewald, Christian-Oliver, et al.
Published: (2024)
by: Ewald, Christian-Oliver, et al.
Published: (2024)
Bayesian Nonparametric Clustering to Support Medical Decision-Making: A Variational Inference Approach
by: Ármann, Inga Huld, et al.
Published: (2026)
by: Ármann, Inga Huld, et al.
Published: (2026)
Relative Survival Analysis Using Bayesian Decision Tree Ensembles
by: Basak, Piyali, et al.
Published: (2024)
by: Basak, Piyali, et al.
Published: (2024)
A Bayesian Discrete Framework for Enhancing Decision-Making Processes in Clinical Trial Designs and Evaluations
by: Pramanik, Paramahansa, et al.
Published: (2026)
by: Pramanik, Paramahansa, et al.
Published: (2026)
Leveraging population information in brain connectivity via Bayesian ICA with a novel informative prior for correlation matrices
by: Mejia, Amanda, et al.
Published: (2023)
by: Mejia, Amanda, et al.
Published: (2023)
Personalized Pricing Decisions Through Adversarial Risk Analysis
by: Rasines, Daniel García, et al.
Published: (2024)
by: Rasines, Daniel García, et al.
Published: (2024)
A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity
by: Peterson, Emily N, et al.
Published: (2025)
by: Peterson, Emily N, et al.
Published: (2025)
Bayesian Non-Homogeneous Hidden Markov Model with Variable Selection for Investigating Drivers of Seizure Risk Cycling
by: Wang, Emily T., et al.
Published: (2022)
by: Wang, Emily T., et al.
Published: (2022)
Modeling Spatial Heterogeneity in Exposure Buffers and Risk: A Hierarchical Bayesian Approach
by: Comess, Saskia, et al.
Published: (2025)
by: Comess, Saskia, et al.
Published: (2025)
Integrating Response Time and Attention Duration in Bayesian Preference Learning for Multiple Criteria Decision Aiding
by: Jiang, Jiaxuan, et al.
Published: (2025)
by: Jiang, Jiaxuan, et al.
Published: (2025)
Scalable Decisions using a Bayesian Decision-Theoretic Approach
by: Ng, Hoiyi, et al.
Published: (2026)
by: Ng, Hoiyi, et al.
Published: (2026)
Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
by: Dempsey, Daniel, et al.
Published: (2024)
by: Dempsey, Daniel, et al.
Published: (2024)
A Unified Bayesian Framework for Mortality Model Selection
by: Diana, Alex, et al.
Published: (2024)
by: Diana, Alex, et al.
Published: (2024)
Decision Making in Drug Development via Inference on Power
by: Johnson, Geoffrey S
Published: (2020)
by: Johnson, Geoffrey S
Published: (2020)
Evaluating WAIC and PSIS-LOO for Bayesian Diagnostic Classification Model Selection
by: Jung, Ae Kyong, et al.
Published: (2024)
by: Jung, Ae Kyong, et al.
Published: (2024)
Bayesian Regression Analysis with the Drift-Diffusion Model
by: Jin, Zekai, et al.
Published: (2025)
by: Jin, Zekai, et al.
Published: (2025)
Discovering Spatial Patterns of Readmission Risk Using a Bayesian Competing Risks Model with Spatially Varying Coefficients
by: Shen, Yueming, et al.
Published: (2025)
by: Shen, Yueming, et al.
Published: (2025)
Personalized Treatment Hierarchies in Bayesian Network Meta-Analysis
by: Wigle, Augustine, et al.
Published: (2026)
by: Wigle, Augustine, et al.
Published: (2026)
Influence Networks: Bayesian Modeling and Diffusion
by: Sánchez-Gutiérrez, Samuel, et al.
Published: (2024)
by: Sánchez-Gutiérrez, Samuel, et al.
Published: (2024)
Colorectal cancer risk mapping through Bayesian Networks
by: Corrales, Daniel, et al.
Published: (2024)
by: Corrales, Daniel, et al.
Published: (2024)
A Bayesian Joint Modelling for Misclassified Interval-censoring and Competing Risks
by: Yang, Zhenwei, et al.
Published: (2024)
by: Yang, Zhenwei, et al.
Published: (2024)
A Bayesian Learning Model for Joint Risk Prediction of Alcohol and Cannabis Use Disorders
by: Rajapaksha, Rajapaksha Mudalige Dhanushka S., et al.
Published: (2025)
by: Rajapaksha, Rajapaksha Mudalige Dhanushka S., et al.
Published: (2025)
Visualisation for Exploratory Modelling Analysis of Bayesian Hierarchical Models
by: Akinfenwa, Oluwayomi, et al.
Published: (2024)
by: Akinfenwa, Oluwayomi, et al.
Published: (2024)
Bayesian Model Selection with an Application to Cosmology
by: Gigiberia, Nikoloz
Published: (2025)
by: Gigiberia, Nikoloz
Published: (2025)
Bayesian Network Regularized Regression for Modeling Urban Crime Occurrences
by: Upton, Elizabeth, et al.
Published: (2017)
by: Upton, Elizabeth, et al.
Published: (2017)
Elastic Bayesian Model Calibration
by: Francom, Devin, et al.
Published: (2023)
by: Francom, Devin, et al.
Published: (2023)
Recurrent Neural Networks for Multivariate Loss Reserving and Risk Capital Analysis
by: Cai, Pengfei, et al.
Published: (2024)
by: Cai, Pengfei, 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)
by: Bae, Youngho, et al.
Published: (2024)
Bayesian Networks for Causal Analysis in Socioecological Systems
by: Cabañas, Rafael, et al.
Published: (2024)
by: Cabañas, Rafael, et al.
Published: (2024)
Unraveling the Dynamics of SPY Trading Volumes: A Comprehensive Analysis of Daily and Intraday Liquidity Trends
by: Krishnan, Ananya, et al.
Published: (2024)
by: Krishnan, Ananya, et al.
Published: (2024)
Stochastic Search Variable Selection for Bayesian Generalized Linear Mixed Effect Models
by: Ding, Feng, et al.
Published: (2024)
by: Ding, Feng, et al.
Published: (2024)
Sentiment Analysis Based on RoBERTa for Amazon Review: An Empirical Study on Decision Making
by: Guo, Xinli
Published: (2024)
by: Guo, Xinli
Published: (2024)
Predictive Probabilities Made Simple: A Fast and Accurate Method for Clinical Trial Decision Making
by: Marion, Joe, et al.
Published: (2024)
by: Marion, Joe, et al.
Published: (2024)
Scenario Analysis with Multivariate Bayesian Machine Learning Models
by: Pfarrhofer, Michael, et al.
Published: (2025)
by: Pfarrhofer, Michael, et al.
Published: (2025)
Dominating Hyperplane Regularization for Variable Selection in Multivariate Count Regression
by: Cooper, Alysha, et al.
Published: (2025)
by: Cooper, Alysha, et al.
Published: (2025)
Similar Items
-
Intelligent data collection for network discrimination in material flow analysis using Bayesian optimal experimental design
by: Liao, Jiankan, et al.
Published: (2025) -
Expert Elicitation and Data Noise Learning for Material Flow Analysis using Bayesian Inference
by: Dong, Jiayuan, et al.
Published: (2022) -
Data-Driven Bayesian Network Models of Hurricane Evacuation Decision Making
by: Wang, Hui Sophie, et al.
Published: (2023) -
Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective
by: Feldman, Joseph, et al.
Published: (2023) -
A Likelihood-Free Approach to Goal-Oriented Bayesian Optimal Experimental Design
by: Chakraborty, Atlanta, et al.
Published: (2024)