Cover Image

Generalized Bayesian Ensemble Survival Tree (GBEST) model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ballante, Elena, Muliere, Pietro, Figini, Silvia
Format:	Preprint
Published:	2025
Subjects:	Methodology Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Explainable cluster analysis: a bagging approach
by: Quetti, Federico Maria, et al.
Published: (2026)

Bayesian Federated Inference for Survival Models
by: Pazira, Hassan, et al.
Published: (2024)

Bayesian Ensembling: Insights from Online Optimization and Empirical Bayes
by: Waxman, Daniel, et al.
Published: (2025)

A Bayesian Approach to Clustering via the Proper Bayesian Bootstrap: the Bayesian Bagged Clustering (BBC) algorithm
by: Quetti, Federico Maria, et al.
Published: (2024)

Generalized Bayesian deep reinforcement learning
by: Roy, Shreya Sinha, et al.
Published: (2024)

The Bayesian Context Trees State Space Model for time series modelling and forecasting
by: Papageorgiou, Ioannis, et al.
Published: (2023)

Toward Valid Generative Clinical Trial Data with Survival Endpoints
by: Chassat, Perrine, et al.
Published: (2025)

Node Splitting SVMs for Survival Trees Based on an L2-Regularized Dipole Splitting Criteria
by: Maung, Aye Aye, et al.
Published: (2025)

Generative Bayesian Inference with GANs
by: Wang, Yuexi, et al.
Published: (2022)

BFTS: Thompson Sampling with Bayesian Additive Regression Trees
by: Deng, Ruizhe, et al.
Published: (2026)

MLCBART: Multilabel Classification with Bayesian Additive Regression Trees
by: Tian, Jiahao, et al.
Published: (2026)

Interpretable Machine Learning for Survival Analysis
by: Langbein, Sophie Hanna, et al.
Published: (2024)

Bayesian score calibration for approximate models
by: Bon, Joshua J, et al.
Published: (2022)

Nonparametric Regression Discontinuity Designs with Survival Outcomes
by: Schuessler, Maximilian, et al.
Published: (2026)

Generative Bayesian Filtering and Parameter Learning
by: Marcelli, Edoardo, et al.
Published: (2025)

Ensemble Prediction via Covariate-dependent Stacking
by: Wakayama, Tomoya, et al.
Published: (2024)

Federated Rule Ensemble Method in Medical Data
by: Wan, Ke, et al.
Published: (2026)

Horseshoe Forests for High-Dimensional Causal Survival Analysis
by: Jacobs, Tijn, et al.
Published: (2025)

BARTSIMP: flexible spatial covariate modeling and prediction using Bayesian additive regression trees
by: Jiang, Alex Ziyu, et al.
Published: (2023)

Robust CATE Estimation Using Novel Ensemble Methods
by: Machluf, Oshri, et al.
Published: (2024)

Data-Driven Logistic Regression Ensembles With Applications in Genomics
by: Christidis, Anthony-Alexander, et al.
Published: (2021)

Approximate Bayesian inference for cumulative probit regression models
by: Aliverti, Emanuele
Published: (2025)

Simulation-based Bayesian inference under model misspecification
by: Kelly, Ryan P., et al.
Published: (2025)

When Is Generalized Bayes Bayesian? A Decision-Theoretic Characterization of Loss-Based Updating
by: McAlinn, Kenichiro, et al.
Published: (2026)

Doubly Robust Conformalized Survival Analysis with Right-Censored Data
by: Sesia, Matteo, et al.
Published: (2024)

Functional BART with Shape Priors: A Bayesian Tree Approach to Constrained Functional Regression
by: Cao, Jiahao, et al.
Published: (2025)

Deep Partially Linear Transformation Model for Right-Censored Survival Data
by: Yin, Junkai, et al.
Published: (2024)

A Stable and Efficient Covariate-Balancing Estimator for Causal Survival Effects
by: Pham, Khiem, et al.
Published: (2023)

Direct Bayesian Additive Regression Trees for Conditional Average Treatment Effects in Regression Discontinuity Designs
by: Kondo, Daisuke, et al.
Published: (2026)

Kernel-Based Ensemble Gaussian Mixture Probability Hypothesis Density Filter
by: Durant, Dalton, et al.
Published: (2025)

Ensemble learning for uncertainty estimation with application to the correction of satellite precipitation products
by: Papacharalampous, Georgia, et al.
Published: (2024)

EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification
by: Dai, Ben
Published: (2024)

Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation
by: Rivera, Eduardo Ochoa, et al.
Published: (2024)

Causal Rule Ensemble: Interpretable Discovery and Inference of Heterogeneous Treatment Effects
by: Bargagli-Stoffi, Falco J., et al.
Published: (2020)

Position: Stop Chasing the C-index when Evaluating Survival Analysis Models
by: Lillelund, Christian Marius, et al.
Published: (2025)

A fast non-reversible sampler for Bayesian finite mixture models
by: Ascolani, Filippo, et al.
Published: (2025)

LOCO Feature Importance Inference without Data Splitting via Minipatch Ensembles
by: Gan, Luqin, et al.
Published: (2022)

Bayesian Additive Distribution Regression
by: Linero, Antonio R., et al.
Published: (2026)

Quasi-Bayesian sequential deconvolution
by: Favaro, Stefano, et al.
Published: (2024)

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