Cover Image

Boldness-Recalibration for Binary Event Predictions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guthrie, Adeline P., Franck, Christopher T.
Format:	Preprint
Published:	2023
Subjects:	Methodology Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

BRcal: An R Package to Boldness-Recalibrate Probability Predictions
by: Guthrie, Adeline P., et al.
Published: (2024)

Multiclass Calibration Assessment and Recalibration of Probability Predictions via the Linear Log Odds Calibration Function
by: Vennos, Amy, et al.
Published: (2026)

Generalized Prediction-Powered Inference, with Application to Binary Classifier Evaluation
by: Zou, Runjia, et al.
Published: (2026)

New User Event Prediction Through the Lens of Causal Inference
by: Yuchi, Henry Shaowu, et al.
Published: (2024)

Partial VOROS: A Cost-aware Performance Metric for Binary Classifiers with Precision and Capacity Constraints
by: Ratigan, Christopher, et al.
Published: (2025)

Modular Jump Gaussian Processes
by: Flowers, Anna R., et al.
Published: (2025)

Bayesian Joint Model of Multi-Sensor and Failure Event Data for Multi-Mode Failure Prediction
by: Fard, Sina Aghaee Dabaghan, et al.
Published: (2025)

Extreme Conformal Prediction: Reliable Intervals for High-Impact Events
by: Pasche, Olivier C., et al.
Published: (2025)

Differentially Private Conformal Prediction via Quantile Binary Search
by: Romanus, Ogonnaya M., et al.
Published: (2025)

Causal Discovery on Dependent Binary Data
by: Chen, Alex, 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)

Hierarchical Linkage Clustering Beyond Binary Trees and Ultrametrics
by: Dreveton, Maximilien, et al.
Published: (2025)

Unsupervised Domain Adaptation for Binary Classification with an Unobservable Source Subpopulation
by: Ying, Chao, et al.
Published: (2025)

Mining Invariance from Nonlinear Multi-Environment Data: Binary Classification
by: Goddard, Austin, et al.
Published: (2024)

Staged Event Trees for Transparent Treatment Effect Estimation
by: Varando, Gherardo, et al.
Published: (2025)

Scalable Counterfactual Risk Estimation for Rare Events in Longitudinal Data
by: Yin, Xiaohui, et al.
Published: (2026)

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

Bin-Conditional Conformal Prediction of Fatalities from Armed Conflict
by: Randahl, David, et al.
Published: (2024)

Self-Consistent Equation-guided Neural Networks for Censored Time-to-Event Data
by: Kim, Sehwan, et al.
Published: (2025)

Forecasting Binary Economic Events in Modern Mercantilism: Traditional methodologies coupled with PCA and K-means Quantitative Analysis of Qualitative Sentimental Data
by: Kot, Sebastian
Published: (2025)

Extending Prediction-Powered Inference through Conformal Prediction
by: Csillag, Daniel, et al.
Published: (2025)

Invariant Probabilistic Prediction
by: Henzi, Alexander, et al.
Published: (2023)

Predictively Oriented Posteriors
by: McLatchie, Yann, et al.
Published: (2025)

A Nonparametric Adaptive EWMA Control Chart for Binary Monitoring of Multiple Stream Processes
by: Muritala, Faruk, et al.
Published: (2026)

Cross-Prediction-Powered Inference
by: Zrnic, Tijana, et al.
Published: (2023)

Residual Distribution Predictive Systems
by: Allen, Sam, et al.
Published: (2025)

Bayesian Spatial Predictive Synthesis
by: Cabel, Danielle, et al.
Published: (2022)

Prediction-Powered E-Values
by: Csillag, Daniel, et al.
Published: (2025)

Microfoundation Inference for Strategic Prediction
by: Bracale, Daniele, et al.
Published: (2024)

Self-Calibrating Conformal Prediction
by: van der Laan, Lars, et al.
Published: (2024)

Elements of Conformal Prediction for Statisticians
by: Sesia, Matteo, et al.
Published: (2026)

Local Prediction-Powered Inference
by: Gu, Yanwu, et al.
Published: (2024)

Boosted Conformal Prediction Intervals
by: Xie, Ran, et al.
Published: (2024)

CASCADE Conformal Prediction: Uncertainty-Adaptive Prediction Intervals for Two-Stage Clinical Decision Support
by: Diaz-Rincon, Ricardo, et al.
Published: (2026)

Tuning-Free Sampling via Optimization on the Space of Probability Measures
by: Sharrock, Louis, et al.
Published: (2025)

Uncertainty-Aware Prediction of Parkinson's Disease Medication Needs: A Two-Stage Conformal Prediction Approach
by: Diaz-Rincon, Ricardo, et al.
Published: (2025)

PPI++: Efficient Prediction-Powered Inference
by: Angelopoulos, Anastasios N., et al.
Published: (2023)

From Conformal Predictions to Confidence Regions
by: Guille-Escuret, Charles, et al.
Published: (2024)

Flow-Based Conformal Predictive Distributions
by: Harris, Trevor
Published: (2026)

A Note on the Prediction-Powered Bootstrap
by: Zrnic, Tijana
Published: (2024)