Cover Image

Observable Covariance and Principal Observable Analysis for Data on Metric Spaces

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Karacam, Ece, Mio, Washington, Okutan, Osman Berat
Format:	Preprint
Published:	2025
Subjects:	Statistics Theory 62R20 (Primary), 51F30, 55N31 (Secondary)
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On Metrics for Analysis of Functional Data on Geometric Domains
by: Anbouhi, Soheil, et al.
Published: (2023)

On the Limits of Topological Data Analysis for Statistical Inference
by: Vishwanath, Siddharth, et al.
Published: (2020)

Persistent magnitude homology on finite metric space
by: Bi, Wanying, et al.
Published: (2026)

A Stable Distance Persistence Homology for Dynamic Bayesian Network Clustering
by: Bales, Will, et al.
Published: (2026)

Algebraic Wasserstein distances and stable homological invariants of data
by: Agerberg, Jens, et al.
Published: (2023)

Universal Distances for Extended Persistence
by: Bauer, Ulrich, et al.
Published: (2020)

MCbiF: Measuring Topological Autocorrelation in Multiscale Clusterings via 2-Parameter Persistent Homology
by: Schindler, Juni, et al.
Published: (2025)

Analysing Multiscale Clusterings with Persistent Homology
by: Schindler, Juni, et al.
Published: (2023)

Digital Euler Characteristic Transform
by: Kirveslahti, Henry, et al.
Published: (2024)

Goodness-of-fit tests for spatial point processes: A review
by: Fend, Chiara, et al.
Published: (2025)

Goodness-of-fit tests for spatial point processes: A power study
by: Fend, Chiara, et al.
Published: (2025)

Horospherical Depth and Busemann Median on Hadamard Manifolds
by: Jiang, Yangdi, et al.
Published: (2026)

Grothendieck Topologies and Sheaf Theory for Data and Graphs: An Approach Through Cech Closure Spaces
by: Rieser, Antonio
Published: (2021)

Kernel Stein Discrepancy on Lie Groups: Theory and Applications
by: Qu, Xiaoda, et al.
Published: (2023)

Denoising data reduction algorithm for Topological Data Analysis
by: Choi, Seonmi, et al.
Published: (2026)

Topological Sequence Analysis of Genomes: Delta Complex approaches
by: Liu, Jian, et al.
Published: (2025)

Wavelet-Based Density Estimation for Persistent Homology
by: Häberle, Konstantin, et al.
Published: (2023)

On the Expressivity of Persistent Homology in Graph Learning
by: Ballester, Rubén, et al.
Published: (2023)

Understanding U.S. Racial Segregation Through Persistent Homology
by: Friesen, Ori, et al.
Published: (2024)

A Closed-Form Adaptive-Landmark Kernel for Certified Point-Cloud and Graph Classification
by: Majhi, Sushovan, et al.
Published: (2026)

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)

Curse of Dimensionality on Persistence Diagrams
by: Hiraoka, Yasuaki, et al.
Published: (2024)

New divergence measures between persistence diagrams and stability of vectorizations
by: Bravetti, Alessandro, et al.
Published: (2024)

Complexity and speed of semi-algebraic multi-persistence
by: Banerjee, Arindam, et al.
Published: (2024)

Principal Curves In Metric Spaces And The Space Of Probability Measures
by: Warren, Andrew, et al.
Published: (2025)

Likelihood Ratio test for Poisson graph
by: Shuyan, Chen, et al.
Published: (2025)

Clusterization in D-optimal designs: the case against linearization
by: Daon, Yair
Published: (2020)

On the coefficients estimate of K-quasiconformal harmonic mappings
by: Li, Peijin, et al.
Published: (2025)

Quasiconformal Extensions of Harmonic Univalent Mappings of the Unit Disk
by: Ma, Xiu-Shuang
Published: (2021)

Persistence-Based Statistics for Detecting Structural Changes in High-Dimensional Point Clouds
by: Nakayama, Toshiyuki
Published: (2025)

Graph Vector Field: A Unified Framework for Multimodal Health Risk Assessment from Heterogeneous Wearable and Environmental Data Streams
by: Coletti, Silvano, et al.
Published: (2026)

Power Analysis for Experiments with Clustered Data, Ratio Metrics, and Regression for Covariate Adjustment
by: Hesterberg, Tim, et al.
Published: (2024)

Algebraic models for classifying spaces of fibrations
by: Berglund, Alexander, et al.
Published: (2022)

Linguistics from a topological viewpoint
by: Dong, Rui
Published: (2024)

Morse theory of Euclidean distance functions from algebraic hypersurfaces
by: Guidolin, Andrea, et al.
Published: (2024)

On the geometric and Riemannian structure of the spaces of group equivariant non-expansive operators
by: Cascarano, Pasquale, et al.
Published: (2021)

General M-estimators of location on Riemannian manifolds: existence and uniqueness
by: Lee, Jongmin, et al.
Published: (2025)

A Primer on Topological Data Analysis to Support Image Analysis Tasks in Environmental Science
by: Hoef, Lander Ver, et al.
Published: (2022)

Stable and consistent density-based clustering via multiparameter persistence
by: Rolle, Alexander, et al.
Published: (2020)

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