:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hossen, Murad, Labate, Demetrio, Charon, Nicolas
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Applications 62R30, 62P10
Online Access:	https://arxiv.org/abs/2602.16120
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Density-valued time series: Nonparametric density-on-density regression
by: Ferraty, Frédéric, et al.
Published: (2025)

P3LS: Point Process Partial Least Squares
by: Namdari, Jamshid, et al.
Published: (2024)

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

River flow modelling using nonparametric functional data analysis
by: Quintela-del-Río, Alejandro, et al.
Published: (2024)

A linear regression model for quantile function data applied to paired pulmonary 3d CT scans
by: Béclin, Marie-Félicia, et al.
Published: (2024)

Goodness of fit for log-linear ERGMs
by: Gross, Elizabeth, et al.
Published: (2021)

Why decision curves go above or below treat-all and treat-none: a PPV- and calibration-based guide for clinical prediction models
by: Hoessly, Linard
Published: (2026)

Sex at birth could well be a biological coin toss.... Beware of conditioning on post-baseline information
by: Lok, Judith J., et al.
Published: (2025)

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

Statistical Analysis of Spatial and Temporal Variability of Maximum Precipitation Events on the Rio Grande do Sul
by: Corrêa, Cleber Souza
Published: (2026)

Drawing Lines in Psychological Space: What K-means Clustering Reveals in Simulated and Real Psychometric Data
by: Pinto, Pedro Henrique Ramos, et al.
Published: (2026)

Bayesian Inference for Left-Truncated Log-Logistic Distributions for Time-to-event Data Analysis
by: Mostafa, Fahad, et al.
Published: (2025)

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

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

Bayesian estimation of the number of significant principal components for cultural data
by: Macdonald, Joshua C., et al.
Published: (2024)

Data Set of Load Tests and Structural Health Monitoring of a concrete boxgirder bridge
by: Koehncke, Martin, et al.
Published: (2024)

Generalized coarsened confounding for causal effects: a large-sample framework
by: Ghosh, Debashis, et al.
Published: (2025)

A semi-automatic approach to study population dynamics based on population pyramids
by: Hahn-Klimroth, Max, et al.
Published: (2025)

Supporting product launching decisions with adversarial risk analysis
by: Arce, Pablo G., et al.
Published: (2025)

Assessing the informative value of macroeconomic indicators for public health forecasting
by: Chakraborty, Shome, et al.
Published: (2026)

Spatio-Temporal Jump Model for Urban Thermal Comfort Monitoring
by: Cortese, Federico P., et al.
Published: (2024)

Random Survival Forest for Censored Functional Data
by: Romano, Elvira, et al.
Published: (2024)

Structural Health Monitoring with Functional Data: Two Case Studies
by: Wittenberg, Philipp, et al.
Published: (2024)

A Statistical Framework for Model Selection in LSTM Networks
by: Mostafa, Fahad
Published: (2025)

Statistical Jump Model for Mixed-Type Data with Missing Data Imputation
by: Cortese, Federico P., et al.
Published: (2024)

Robust Short-Term OEE Forecasting in Industry 4.0 via Topological Data Analysis
by: Anapa, Korkut, et al.
Published: (2025)

Multivariate Low-Rank State-Space Model with SPDE Approach for High-Dimensional Data
by: Rodeschini, Jacopo, et al.
Published: (2025)

Dissecting Microbial Community Structure and Heterogeneity via Multivariate Covariate-Adjusted Clustering
by: Liu, Zhongmao, et al.
Published: (2025)

A Robust Topological Framework for Detecting Regime Changes in Multi-Trial Experiments with Application to Predictive Maintenance
by: El-Yaagoubi, Anass B., et al.
Published: (2024)

Score-based diffusion models for diffuse optical tomography with uncertainty quantification
by: Schneider, Fabian, et al.
Published: (2026)

Lasso regularization for mixture experiments with noise variables
by: González-Navarrete, Manuel, et al.
Published: (2024)

A model and method for analyzing the precision of binary measurement methods based on beta-binomial distributions, and related statistical tests
by: Takeshita, Jun-ichi, et al.
Published: (2020)

A sensitivity analysis for non-inferiority studies with non-randomised data
by: Kabata, Daijiro, et al.
Published: (2025)

A comparison between initialization strategies for the infinite hidden Markov model
by: Cortese, Federico P., et al.
Published: (2025)

Expert Elicitation and Data Noise Learning for Material Flow Analysis using Bayesian Inference
by: Dong, Jiayuan, et al.
Published: (2022)

SAFE Quantum Machine Learning with Variational Quantum Classifiers
by: Chen, Ying, et al.
Published: (2026)

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

Cubic lower record-based transmuted family of distributions: Theory, Estimation, Applications
by: Tanış, Caner
Published: (2026)

The Unconditional Performance of Control Charts for Zero-Inflated Processes with Estimated Parameters
by: Rakitzis, Athanasios C., et al.
Published: (2024)