Image de couverture de livre

Binary AddiVortes: (Bayesian) Additive Voronoi Tessellations for Binary Classification with an application to Predicting Home Mortgage Application Outcomes

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Stone, Adam J., Ogundimu, Emmanuel, Gosling, John Paul
Format:	Preprint
Publié:	2025
Sujets:	Applications Machine Learning Computation Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

H-AddiVortes: Heteroscedastic (Bayesian) Additive Voronoi Tessellations
par: Stone, Adam J., et autres
Publié: (2025)

Latent Moment Models for Recurrent Binary Outcomes: A Bayesian and Quasi-Distributional Approach
par: Ramezani, Niloofar, et autres
Publié: (2026)

Differentially Private Conformal Prediction via Quantile Binary Search
par: Romanus, Ogonnaya M., et autres
Publié: (2025)

A Bayesian Proportional Mean Model Using Panel Binary Data-An Application to Health and Retirement Study
par: Hariharan, Pavithra, et autres
Publié: (2025)

Evaluating Binary Outcome Classifiers Estimated from Survey Data
par: Wadekar, Adway S., et autres
Publié: (2023)

Joint Models for Handling Non-Ignorable Missing Data using Bayesian Additive Regression Trees: Application to Leaf Photosynthetic Traits Data
par: Goh, Yong Chen, et autres
Publié: (2024)

Exact and Conservative Inference for the Average Treatment Effect in Stratified Experiments with Binary Outcomes
par: Li, Jiaxun, et autres
Publié: (2025)

A Nonparametric Adaptive EWMA Control Chart for Binary Monitoring of Multiple Stream Processes
par: Muritala, Faruk, et autres
Publié: (2026)

Estimating Causal Effects for Binary Outcomes Using Per-Decision Inverse Probability Weighting
par: Bao, Yihan, et autres
Publié: (2023)

Statistical Inference for Regression with Imputed Binary Covariates with Application to Emotion Recognition
par: Lin, Ziqian, et autres
Publié: (2024)

Robust Emax Model Fitting: Addressing Nonignorable Missing Binary Outcome in Dose-Response Analysis
par: Zhang, Jiangshan, et autres
Publié: (2024)

Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
par: Dempsey, Daniel, et autres
Publié: (2024)

On Statistical Inference for High-Dimensional Binary Time Series
par: Dai, Dehao, et autres
Publié: (2025)

Soil Texture Prediction with Bayesian Generalized Additive Models for Spatial Compositional Data
par: Martínez-Minaya, Joaquín, et autres
Publié: (2025)

Bayesian temporal biclustering with applications to multi-subject neuroscience studies
par: Ricci, Federica Zoe, et autres
Publié: (2024)

Causally Sound Priors for Binary Experiments
par: Irons, Nicholas J., et autres
Publié: (2023)

A Bayesian Classification Trees Approach to Treatment Effect Variation with Noncompliance
par: Fisher, Jared D., et autres
Publié: (2024)

Bayesian Federated Cause-of-Death Classification and Quantification Under Distribution Shift
par: Zhu, Yu, et autres
Publié: (2025)

pumBayes: Bayesian Estimation of Probit Unfolding Models for Binary Preference Data in R
par: Shi, Skylar, et autres
Publié: (2025)

Binary Choice under Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Algorithmic Fairness
par: Babii, Andrii, et autres
Publié: (2020)

Hierarchical Bayesian Models to Mitigate Systematic Disparities in Prediction with Proxy Outcomes
par: Mikhaeil, Jonas, et autres
Publié: (2024)

Community Correlations and Testing Independence Between Binary Graphs
par: Shen, Cencheng, et autres
Publié: (2019)

A Bayesian Framework for Post-disruption Travel Time Prediction in Metro Networks
par: Nazemi, Shayan, et autres
Publié: (2026)

Bayesian Prognostic Covariate Adjustment With Additive Mixture Priors
par: Vanderbeek, Alyssa M., et autres
Publié: (2023)

Scalable Bayesian Semiparametric Additive Regression Models For Microbiome Studies
par: Chen, Tinghua, et autres
Publié: (2024)

A Semiparametric Bayesian Method for Instrumental Variable Analysis with Partly Interval-Censored Time-to-Event Outcome
par: Cui, Elvis Han, et autres
Publié: (2025)

Evaluating Bias Reduction Methods in Binary Emax Model for Reliable Dose-Response Estimation
par: Zhang, Jiangshan, et autres
Publié: (2025)

Local transfer learning Gaussian process modeling, with applications to surrogate modeling of expensive computer simulators
par: Wang, Xinming, et autres
Publié: (2024)

Hierarchical Count Echo State Network Models with Application to Graduate Student Enrollments
par: Wang, Qi, et autres
Publié: (2025)

A Large Scale Heterogeneous Treatment Effect Estimation Framework and Its Applications of Users' Journey at Snap
par: Pan, Jing, et autres
Publié: (2025)

Bayesian Nonlinear PDE Inference via Gaussian Process Collocation with Application to the Richards Equation
par: Yang, Yumo, et autres
Publié: (2025)

Scalable Spatiotemporal Prediction with Bayesian Neural Fields
par: Saad, Feras, et autres
Publié: (2024)

Nonparametric Bayesian Multi-Treatment Mixture Cure Survival Model with Application in Pediatric Oncology
par: Chang, Peter, et autres
Publié: (2025)

Longitudinal Outcomes Truncated by Death: Causal Estimands and Bayesian Estimators
par: Ortholand, Juliette, et autres
Publié: (2026)

A Transfer Learning Causal Approach to Evaluate Racial/Ethnic and Geographic Variation in Outcomes Following Congenital Heart Surgery
par: Han, Larry, et autres
Publié: (2024)

Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes
par: Du, Jin-Hong, et autres
Publié: (2024)

Fusing Individualized Treatment Rules Using Secondary Outcomes
par: Gao, Daiqi, et autres
Publié: (2024)

Sample Efficient Bayesian Learning of Causal Graphs from Interventions
par: Zhou, Zihan, et autres
Publié: (2024)

Testing and Improving the Robustness of Amortized Bayesian Inference for Cognitive Models
par: Wu, Yufei, et autres
Publié: (2024)

Additive Density-on-Scalar Regression in Bayes Hilbert Spaces with an Application to Gender Economics
par: Maier, Eva-Maria, et autres
Publié: (2021)