:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Owsiński, Jan W.
Format:	Preprint
Published:	2026
Subjects:	Other Statistics 62H30 E.1; G.3; I.5
Online Access:	https://arxiv.org/abs/2602.20954
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Asymptotic Consistency and Generalization in Hybrid Models of Regularized Selection and Nonlinear Learning
by: Galvão, Luciano Ribeiro, et al.
Published: (2025)

Augmented Functional Random Forests: Classifier Construction and Unbiased Functional Principal Components Importance through Ad-Hoc Conditional Permutations
by: Maturo, Fabrizio, et al.
Published: (2024)

Functional Clustering of Discount Functions for Behavioral Investor Profiling
by: Porreca, Annamaria, et al.
Published: (2024)

Adjusted Similarity Measures and a Violation of Expectations
by: Lippitt, William L., et al.
Published: (2026)

Scalable Bayesian Clustering for Integrative Analysis of Multi-View Data
by: Cabral, Rafael, et al.
Published: (2024)

Calibrated Counterfactual Conformal Fairness ($C^3F$): Post-hoc, Shift-Aware Coverage Parity via Conformal Prediction and Counterfactual Regularization
by: Alpay, Faruk, et al.
Published: (2025)

Demystifying Functional Random Forests: Novel Explainability Tools for Model Transparency in High-Dimensional Spaces
by: Maturo, Fabrizio, et al.
Published: (2024)

Evaluation of the number of clusters in a data set using $p$-values from Multiple Tests of Hypotheses
by: Modak, Soumita
Published: (2026)

Exact Upper and Lower Bounds for the Output Distribution of Neural Networks with Random Inputs
by: Kofnov, Andrey, et al.
Published: (2025)

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

Mixed-type Distance Shrinkage and Selection for Clustering via Kernel Metric Learning
by: Ghashti, Jesse S., et al.
Published: (2023)

Onset of a conceptual outline map to get a hold on the jungle of cluster analysis
by: Van Mechelen, Iven, et al.
Published: (2023)

Adjust Pearson's $r$ to Measure Arbitrary Monotone Dependence
by: Ai, Xinbo
Published: (2022)

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering
by: Degen, Isabella, et al.
Published: (2025)

Information Leakage Detection through Approximate Bayes-optimal Prediction
by: Gupta, Pritha, et al.
Published: (2024)

Advances in Machine Learning, Statistical Methods, and AI for Single-Cell RNA Annotation Using Raw Count Matrices in scRNA-seq Data
by: Patel, Megha, et al.
Published: (2024)

A Hybrid Mixture Approach for Clustering and Characterizing Cancer Data
by: Kareem, Kazeem, et al.
Published: (2025)

Ranking of Multi-Response Experiment Treatments
by: Pebes-Trujillo, Miguel R., et al.
Published: (2024)

The Shape of Consumer Behavior: A Symbolic and Topological Analysis of Time Series
by: Bereta, Pola, et al.
Published: (2025)

Extrinsic Analysis on BHV4
by: Chen, Tingan, et al.
Published: (2026)

Iterative Exploration-Driven Sparse SDP Clustering via Thompson Sampling
by: Mun, Jongmin, et al.
Published: (2025)

Multi-layered model-based characterisation of the local-Universe galaxy data from the GAMA survey
by: Dai, Fan, et al.
Published: (2026)

Exploring Hierarchical Classification Performance for Time Series Data: Dissimilarity Measures and Classifier Comparisons
by: Alagoz, Celal
Published: (2024)

Subjective Time Deformation in Intertemporal Choice: A Functional Data Analysis Approach
by: Maturo, Fabrizio, et al.
Published: (2026)

A Hybrid Mixture of $t$-Factor Analyzers for Clustering High-dimensional Data
by: Kareem, Kazeem, et al.
Published: (2025)

Order-Constrained Spectral Causality for Multivariate Time Series
by: Dominguez, Alejandro Rodriguez
Published: (2026)

Structural restrictions in local causal discovery: identifying direct causes of a target variable
by: Bodik, Juraj, et al.
Published: (2023)

Measures of Overlapping Multivariate Gaussian Clusters in Unsupervised Online Learning
by: Ožbot, Miha, et al.
Published: (2025)

Out-of-Distribution Detection via Channelwise Feature Aggregation in Neural Network-Based Receivers
by: Tuononen, Marko, et al.
Published: (2025)

A Multi-scale Fused Graph Neural Network with Inter-view Contrastive Learning for Spatial Transcriptomics Data Clustering
by: Mei, Jianping, et al.
Published: (2025)

Establishing Validity for Distance Functions and Internal Clustering Validity Indices in Correlation Space
by: Degen, Isabella, et al.
Published: (2025)

Lightweight Defense Against Adversarial Attacks in Time Series Classification
by: Han, Yi
Published: (2025)

Geometric Mixture Classifier (GMC): A Discriminative Per-Class Mixture of Hyperplanes
by: K, Prasanth K, et al.
Published: (2025)

Higher-Order Equilibrium Tracking for EM-Compressible Online Estimation
by: Li, ZhiMing, et al.
Published: (2026)

Dynamic Regularized CBDT: Variance-Calibrated Causal Boosting for Interpretable Heterogeneous Treatment Effects
by: Liu, Yichen
Published: (2025)

Physics-informed machine learning: A mathematical framework with applications to time series forecasting
by: Doumèche, Nathan
Published: (2025)

ML-driven detection and reduction of ballast information in multi-modal datasets
by: Solovko, Yaroslav
Published: (2026)

Latent characterisation of the complete BATSE gamma ray bursts catalogue using Gaussian mixture of factor analysers and model-estimated overlap-based syncytial clustering
by: Dai, Fan, et al.
Published: (2026)

Intra-tree Column Subsampling Hinders XGBoost Learning of Ratio-like Interactions
by: Pinchuk, Mykola
Published: (2026)

When Marginals Match but Structure Fails: Covariance Fidelity in Generative Models
by: Riasat, Nazia
Published: (2026)