From Partial Exchangeability to Predictive Probability: A Bayesian Perspective on Classification
Fuente:
arXiv
Saved in:
| Main Author: | Diniz, Marcio Alves |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Online Conformal Prediction for Non-Exchangeable Panel Data
by: Tu, Daohong, et al.
Published: (2026)
by: Tu, Daohong, et al.
Published: (2026)
Do Finetti: On Causal Effects for Exchangeable Data
by: Guo, Siyuan, et al.
Published: (2024)
by: Guo, Siyuan, et al.
Published: (2024)
Classification from Positive and Biased Negative Data with Skewed Labeled Posterior Probability
by: Watanabe, Shotaro, et al.
Published: (2022)
by: Watanabe, Shotaro, et al.
Published: (2022)
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
by: Guo, Siyuan, et al.
Published: (2022)
by: Guo, Siyuan, et al.
Published: (2022)
Bayesian Spatial Predictive Synthesis
by: Cabel, Danielle, et al.
Published: (2022)
by: Cabel, Danielle, et al.
Published: (2022)
MLCBART: Multilabel Classification with Bayesian Additive Regression Trees
by: Tian, Jiahao, et al.
Published: (2026)
by: Tian, Jiahao, et al.
Published: (2026)
Joint Registration and Conformal Prediction for Partially Observed Functional Data
by: Wang, Fangyi, et al.
Published: (2025)
by: Wang, Fangyi, et al.
Published: (2025)
A Priori Determination of the Pretest Probability
by: Balayla, Jacques
Published: (2024)
by: Balayla, Jacques
Published: (2024)
Multiclass Calibration Assessment and Recalibration of Probability Predictions via the Linear Log Odds Calibration Function
by: Vennos, Amy, et al.
Published: (2026)
by: Vennos, Amy, et al.
Published: (2026)
Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear Regression
by: Wakayama, Tomoya
Published: (2024)
by: Wakayama, Tomoya
Published: (2024)
Selection of the Most Probable Best
by: Kim, Taeho, et al.
Published: (2022)
by: Kim, Taeho, et al.
Published: (2022)
Distribution-free Conformal Prediction for Ordinal Classification
by: Chakraborty, Subhrasish, et al.
Published: (2024)
by: Chakraborty, Subhrasish, et al.
Published: (2024)
A Bayesian Classification Trees Approach to Treatment Effect Variation with Noncompliance
by: Fisher, Jared D., et al.
Published: (2024)
by: Fisher, Jared D., et al.
Published: (2024)
Partial Trace-Class Bayesian Neural Networks
by: Carter, Arran, et al.
Published: (2025)
by: Carter, Arran, et al.
Published: (2025)
Will My Robot Achieve My Goals? Predicting the Probability that an MDP Policy Reaches a User-Specified Behavior Target
by: Guyer, Alexander, et al.
Published: (2022)
by: Guyer, Alexander, et al.
Published: (2022)
Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities
by: Todeschini, Adrien, et al.
Published: (2016)
by: Todeschini, Adrien, et al.
Published: (2016)
Bayesian Federated Cause-of-Death Classification and Quantification Under Distribution Shift
by: Zhu, Yu, et al.
Published: (2025)
by: Zhu, Yu, et al.
Published: (2025)
Stabilized Inverse Probability Weighting via Isotonic Calibration
by: van der Laan, Lars, et al.
Published: (2024)
by: van der Laan, Lars, et al.
Published: (2024)
Bayesian Hierarchical Invariant Prediction
by: Madaleno, Francisco, et al.
Published: (2025)
by: Madaleno, Francisco, et al.
Published: (2025)
From Conformal Predictions to Confidence Regions
by: Guille-Escuret, Charles, et al.
Published: (2024)
by: Guille-Escuret, Charles, et al.
Published: (2024)
Binary AddiVortes: (Bayesian) Additive Voronoi Tessellations for Binary Classification with an application to Predicting Home Mortgage Application Outcomes
by: Stone, Adam J., et al.
Published: (2025)
by: Stone, Adam J., et al.
Published: (2025)
Bayesian Counterfactual Prediction Models for HIV Care Retention with Incomplete Outcome and Covariate Information
by: Oganisian, Arman, et al.
Published: (2024)
by: Oganisian, Arman, et al.
Published: (2024)
Learning to Partially Defer for Sequences
by: Rayan, Sahana, et al.
Published: (2025)
by: Rayan, Sahana, et al.
Published: (2025)
Tuning-Free Sampling via Optimization on the Space of Probability Measures
by: Sharrock, Louis, et al.
Published: (2025)
by: Sharrock, Louis, et al.
Published: (2025)
A Bayesian Framework for Post-disruption Travel Time Prediction in Metro Networks
by: Nazemi, Shayan, et al.
Published: (2026)
by: Nazemi, Shayan, et al.
Published: (2026)
Bayesian Joint Model of Multi-Sensor and Failure Event Data for Multi-Mode Failure Prediction
by: Fard, Sina Aghaee Dabaghan, et al.
Published: (2025)
by: Fard, Sina Aghaee Dabaghan, et al.
Published: (2025)
Concentration and Calibration in Predictive Bayesian Inference
by: Frazier, David T., et al.
Published: (2026)
by: Frazier, David T., et al.
Published: (2026)
Kernel-Based Ensemble Gaussian Mixture Probability Hypothesis Density Filter
by: Durant, Dalton, et al.
Published: (2025)
by: Durant, Dalton, et al.
Published: (2025)
Sparse Learning and Class Probability Estimation with Weighted Support Vector Machines
by: Zeng, Liyun, et al.
Published: (2023)
by: Zeng, Liyun, et al.
Published: (2023)
An Equal-Probability Partition of the Sample Space: A Non-parametric Inference from Finite Samples
by: Eriksson, Urban
Published: (2025)
by: Eriksson, Urban
Published: (2025)
Contextual Linear Optimization with Partial Feedback
by: Hu, Yichun, et al.
Published: (2024)
by: Hu, Yichun, et al.
Published: (2024)
Integral Probability Metrics Meet Neural Networks: The Radon-Kolmogorov-Smirnov Test
by: Paik, Seunghoon, et al.
Published: (2023)
by: Paik, Seunghoon, et al.
Published: (2023)
From Observations to Causations: A GNN-based Probabilistic Prediction Framework for Causal Discovery
by: Rashid, Rezaur, et al.
Published: (2025)
by: Rashid, Rezaur, et al.
Published: (2025)
LITE: Efficiently Estimating Gaussian Probability of Maximality
by: Menet, Nicolas, et al.
Published: (2025)
by: Menet, Nicolas, et al.
Published: (2025)
Learning Directed Acyclic Graphs from Partial Orderings
by: Shojaie, Ali, et al.
Published: (2024)
by: Shojaie, Ali, et al.
Published: (2024)
On the Parameter Identifiability of Partially Observed Linear Causal Models
by: Dong, Xinshuai, et al.
Published: (2024)
by: Dong, Xinshuai, et al.
Published: (2024)
A Bayesian Take on Gaussian Process Networks
by: Giudice, Enrico, et al.
Published: (2023)
by: Giudice, Enrico, et al.
Published: (2023)
Causal Inference on Networks under Misspecified Exposure Mappings: A Partial Identification Framework
by: Schröder, Maresa, et al.
Published: (2026)
by: Schröder, Maresa, et al.
Published: (2026)
Estimating Total Effects in Bipartite Experiments with Spillovers and Partial Eligibility
by: Tan, Albert, et al.
Published: (2025)
by: Tan, Albert, et al.
Published: (2025)
Training and Validating a Treatment Recommender with Partial Verification Evidence
by: Unnikrishnan, Vishnu, et al.
Published: (2024)
by: Unnikrishnan, Vishnu, et al.
Published: (2024)
Similar Items
-
Online Conformal Prediction for Non-Exchangeable Panel Data
by: Tu, Daohong, et al.
Published: (2026) -
Do Finetti: On Causal Effects for Exchangeable Data
by: Guo, Siyuan, et al.
Published: (2024) -
Classification from Positive and Biased Negative Data with Skewed Labeled Posterior Probability
by: Watanabe, Shotaro, et al.
Published: (2022) -
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
by: Guo, Siyuan, et al.
Published: (2022) -
Bayesian Spatial Predictive Synthesis
by: Cabel, Danielle, et al.
Published: (2022)