:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Ying, Giudici, Paolo, Kolesnikov, Vasily, Recchia, Paolo
Format:	Preprint
Published:	2026
Subjects:	Machine Learning 62G30, 62P10, 81S05
Online Access:	https://arxiv.org/abs/2605.16067
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Functional Random Forest with Adaptive Cost-Sensitive Splitting for Imbalanced Functional Data Classification
by: Mostafa, Fahad, et al.
Published: (2025)

generalRSS: Sampling and Inference for Balanced and Unbalanced Ranked Set Sampling in R
by: Moon, Chul, et al.
Published: (2025)

Why Empirical p-Values Are Not Uniform: Reference Samples, Dependence, and PIT Backtesting
by: Lis, Jakub
Published: (2026)

Enriched Functional Tree-Based Classifiers: A Novel Approach Leveraging Derivatives and Geometric Features
by: Maturo, Fabrizio, et al.
Published: (2024)

Conservative Decisions with Risk Scores
by: Wei, Yishu, et al.
Published: (2025)

Enhancing Visual Interpretability and Explainability in Functional Survival Trees and Forests
by: Loffredo, Giuseppe, et al.
Published: (2025)

Statistical and Machine Learning Analysis of Traffic Accidents on US 158 in Currituck County: A Comparison with HSM Predictions
by: Sawyer, Jennifer, et al.
Published: (2025)

Quantum Neural Networks for Propensity Score Estimation and Survival Analysis in Observational Biomedical Studies
by: Novák, Vojtěch, et al.
Published: (2025)

Machine learning in an expectation-maximisation framework for nowcasting
by: Wilsens, Paul, et al.
Published: (2025)

Composite empirical likelihood for multisample clustered data
by: Chen, Jiahua, et al.
Published: (2016)

Continuity of the Solution of a Non-Parametric Bayesian Statistical Calibration Procedure
by: Prasadan, Akshay, et al.
Published: (2026)

Comparison of Machine Learning Classification Algorithms and Application to the Framingham Heart Study
by: Kahouadji, Nabil
Published: (2024)

Club Exco: clustering brain extreme communities from multi-channel EEG data
by: Guerrero, Matheus B., et al.
Published: (2022)

Goodness-of-fit testing for nonlinear inverse problems with random observations
by: Kretschmann, Remo, et al.
Published: (2026)

Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests
by: Cai, T. Tony, et al.
Published: (2024)

Comments on Friedman's Method for Class Distribution Estimation
by: Tasche, Dirk
Published: (2024)

Randomization Tests for Conditional Group Symmetry
by: Chiu, Kenny, et al.
Published: (2024)

Kernel-Based Nonparametric Tests For Shape Constraints
by: Sen, Rohan
Published: (2025)

Causal inference with ordinal outcomes: copula-based identification, estimation and sensitivity analysis
by: He, Peiyu, et al.
Published: (2026)

The envelope of a complex Gaussian random variable
by: Ghosal, Sattwik, et al.
Published: (2023)

A Finite Mixture Failure-rate based Heterogeneous Step-stress Accelerated Life Testing (h-SSALT) Model
by: Palit, Pranoy, et al.
Published: (2026)

Feature-based morphological analysis of shape graph data
by: Hossen, Murad, et al.
Published: (2026)

Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors
by: Novák, Vojtěch, et al.
Published: (2026)

Convolutional Attention in Betting Exchange Markets
by: Gonçalves, Rui, et al.
Published: (2025)

Detectability Limits for Intra-Block Temporal Drift in Finite-Key Entanglement-Based QKD
by: Marcelino, Rafael Duarte, et al.
Published: (2026)

Transcendental Regularization of Finite Mixtures:Theoretical Guarantees and Practical Limitations
by: Fokoué, Ernest
Published: (2026)

Distributional Limit Theory for Optimal Transport
by: del Barrio, Eustasio, et al.
Published: (2025)

A Systematic Evaluation of Imbalance Handling Methods in Biomedical Binary Classification
by: Chen, Jiandong, et al.
Published: (2026)

Bayesian--AI Fusion for Epidemiological Decision Making: Calibrated Risk, Honest Uncertainty, and Hyperparameter Intelligence
by: Chatterjee, Debashis
Published: (2025)

Fuzzy Jump Models for Soft and Hard Clustering of Multivariate Time Series Data
by: Cortese, Federico P., et al.
Published: (2025)

Covariance-free Bi-fidelity Control Variates Importance Sampling for Rare Event Reliability Analysis
by: Chakroborty, Promit, et al.
Published: (2024)

Multi-Method Analysis of Mathematics Placement Assessments: Classical, Machine Learning, and Clustering Approaches
by: Allagan, Julian D., et al.
Published: (2025)

Additive Logistic Models as Interpretable Likelihood-Ratio Scores for AUC-Based Classification
by: Chang, Yuan-chin Ivan
Published: (2015)

Functional Clustering of Survival Data via Smoothed Log-Hazard Trajectories: A Risk-Dynamics Perspective
by: De Magistris, Anna, et al.
Published: (2026)

A Deep Generative Approach to Stratified Learning
by: Martinez, Randy, et al.
Published: (2026)

Comparative Evaluation of VaR Models: Historical Simulation, GARCH-Based Monte Carlo, and Filtered Historical Simulation
by: Tian, Xin
Published: (2025)

Sparse Regularized Optimal Transport without Curse of Dimensionality
by: González-Sanz, Alberto, et al.
Published: (2025)

Signature-Kernel Based Evaluation Metrics for Robust Probabilistic and Tail-Event Forecasting
by: Redhead, Benjamin R., et al.
Published: (2026)

From 'What-is' to 'What-if' in Human-Factor Analysis: A Post-Occupancy Evaluation Case
by: Chen, Xia, et al.
Published: (2025)

Differentially private scale testing via rank transformations and percentile modifications
by: Levine, Joshua, et al.
Published: (2025)