A Survey of Dimension Estimation Methods
Fuente:
arXiv
Saved in:
| Main Authors: | Binnie, James A. D., Dłotko, Paweł, Harvey, John, Malinowski, Jakub, Yim, Ka Man |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Autoregressive Processes on Stiefel and Grassmann Manifolds
by: Figueras, Jordi-Lluís, et al.
Published: (2025)
by: Figueras, Jordi-Lluís, et al.
Published: (2025)
On empirical Hodge Laplacians under the manifold hypothesis
by: Lerch, Jan-Paul, et al.
Published: (2025)
by: Lerch, Jan-Paul, et al.
Published: (2025)
Extended Kalman Filtering on Stiefel Manifolds
by: Figueras, Jordi-Lluís, et al.
Published: (2025)
by: Figueras, Jordi-Lluís, et al.
Published: (2025)
On the Convergence of the Extended Kalman Filter on Stiefel Manifolds when Observing a Constant Particle with Measurement Errors
by: Figueras, Jordi-Lluís, et al.
Published: (2025)
by: Figueras, Jordi-Lluís, et al.
Published: (2025)
Curvature-driven manifold fitting under unbounded isotropic noise
by: Li, Ruowei, et al.
Published: (2026)
by: Li, Ruowei, et al.
Published: (2026)
Infinite-Dimensional Spherical Kernel ridge Regression
by: Matteo, Beatrice, et al.
Published: (2026)
by: Matteo, Beatrice, et al.
Published: (2026)
Bi-invariant Dissimilarity Measures for Sample Distributions in Lie Groups
by: Hanik, Martin, et al.
Published: (2024)
by: Hanik, Martin, et al.
Published: (2024)
Statistical exploration of the Manifold Hypothesis
by: Whiteley, Nick, et al.
Published: (2022)
by: Whiteley, Nick, et al.
Published: (2022)
G-Mapper: Learning a Cover in the Mapper Construction
by: Alvarado, Enrique, et al.
Published: (2023)
by: Alvarado, Enrique, et al.
Published: (2023)
Topology-Driven Goodness-of-Fit Tests in Arbitrary Dimensions
by: Dłotko, Paweł, et al.
Published: (2022)
by: Dłotko, Paweł, et al.
Published: (2022)
A central limit theorem for random tangent fields on stratified spaces
by: Mattingly, Jonathan C., et al.
Published: (2023)
by: Mattingly, Jonathan C., et al.
Published: (2023)
Riemannian AmbientFlow: Towards Simultaneous Manifold Learning and Generative Modeling from Corrupted Data
by: Diepeveen, Willem, et al.
Published: (2026)
by: Diepeveen, Willem, et al.
Published: (2026)
Estimating a density near an unknown manifold: a Bayesian nonparametric approach
by: Berenfeld, Clément, et al.
Published: (2022)
by: Berenfeld, Clément, et al.
Published: (2022)
Long-time existence of Brownian motion on configurations of two landmarks
by: Habermann, Karen, et al.
Published: (2023)
by: Habermann, Karen, et al.
Published: (2023)
Multivariate Functional Linear Discriminant Analysis for the Classification of Short Time Series with Missing Data
by: Bordoloi, Rahul, et al.
Published: (2024)
by: Bordoloi, Rahul, et al.
Published: (2024)
A Robust Persistent Homology : Trimming Approach
by: Mahato, Tuhin Subhra, et al.
Published: (2025)
by: Mahato, Tuhin Subhra, et al.
Published: (2025)
Algebraic Machine Learning with an Application to Chemistry
by: Sai, Ezzeddine El, et al.
Published: (2022)
by: Sai, Ezzeddine El, et al.
Published: (2022)
Improving variable selection properties with data integration and transfer learning
by: Rognon-Vael, Paul, et al.
Published: (2025)
by: Rognon-Vael, Paul, et al.
Published: (2025)
Tropical Fréchet Means: a polyhedral approach to exact optimization
by: Ferry, Kamillo, et al.
Published: (2025)
by: Ferry, Kamillo, et al.
Published: (2025)
Subbagging Variable Selection for Big Data
by: Li, Xian, et al.
Published: (2025)
by: Li, Xian, et al.
Published: (2025)
Goodness-of-fit tests for spatial point processes: A review
by: Fend, Chiara, et al.
Published: (2025)
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)
by: Fend, Chiara, et al.
Published: (2025)
Stable and consistent density-based clustering via multiparameter persistence
by: Rolle, Alexander, et al.
Published: (2020)
by: Rolle, Alexander, et al.
Published: (2020)
Estimation of Directed Acyclic Graphs by Frequentist Model Averaging
by: Liu, Huihang, et al.
Published: (2026)
by: Liu, Huihang, et al.
Published: (2026)
CA-PCA: Manifold Dimension Estimation, Adapted for Curvature
by: Gilbert, Anna C., et al.
Published: (2023)
by: Gilbert, Anna C., et al.
Published: (2023)
Most probable paths for developed processes
by: Grong, Erlend, et al.
Published: (2022)
by: Grong, Erlend, et al.
Published: (2022)
Most probable flows for Kunita SDEs
by: Grong, Erlend, et al.
Published: (2022)
by: Grong, Erlend, et al.
Published: (2022)
Statistical Inference for Bures-Wasserstein Flows
by: Santoro, Leonardo V., et al.
Published: (2023)
by: Santoro, Leonardo V., et al.
Published: (2023)
Wavelet-Based Density Estimation for Persistent Homology
by: Häberle, Konstantin, et al.
Published: (2023)
by: Häberle, Konstantin, et al.
Published: (2023)
gcor: A Python Implementation of Categorical Gini Correlation and Its Inference
by: Hewage, Sameera
Published: (2025)
by: Hewage, Sameera
Published: (2025)
Pathological Regularization Regimes in Classification Tasks
by: Wiesmann, Maximilian, et al.
Published: (2024)
by: Wiesmann, Maximilian, et al.
Published: (2024)
Tverberg's theorem and multi-class support vector machines
by: Soberón, Pablo
Published: (2024)
by: Soberón, Pablo
Published: (2024)
A statistical framework for analyzing shape in a time series of random geometric objects
by: van Delft, Anne, et al.
Published: (2023)
by: van Delft, Anne, et al.
Published: (2023)
Poisson Regression in one Covariate on Massive Data
by: Reuter, Torsten, et al.
Published: (2024)
by: Reuter, Torsten, et al.
Published: (2024)
Mathematical Theory of Collinearity Effects on Machine Learning Variable Importance Measures
by: Bladen, Kelvyn K., et al.
Published: (2025)
by: Bladen, Kelvyn K., et al.
Published: (2025)
General M-estimators of location on Riemannian manifolds: existence and uniqueness
by: Lee, Jongmin, et al.
Published: (2025)
by: Lee, Jongmin, et al.
Published: (2025)
Fast $k$-means clustering in Riemannian manifolds via Fréchet maps: Applications to large-dimensional SPD matrices
by: Shi, Ji, et al.
Published: (2025)
by: Shi, Ji, et al.
Published: (2025)
A Deep Generative Approach to Stratified Learning
by: Martinez, Randy, et al.
Published: (2026)
by: Martinez, Randy, et al.
Published: (2026)
D-optimal Subsampling Design for Massive Data Linear Regression
by: Glemser, Torsten, et al.
Published: (2023)
by: Glemser, Torsten, et al.
Published: (2023)
Functional Liu Regression for Scalar-on-Functional Models in High-Dimensional Settings
by: Ashraf, Shaista, et al.
Published: (2026)
by: Ashraf, Shaista, et al.
Published: (2026)
Similar Items
-
Autoregressive Processes on Stiefel and Grassmann Manifolds
by: Figueras, Jordi-Lluís, et al.
Published: (2025) -
On empirical Hodge Laplacians under the manifold hypothesis
by: Lerch, Jan-Paul, et al.
Published: (2025) -
Extended Kalman Filtering on Stiefel Manifolds
by: Figueras, Jordi-Lluís, et al.
Published: (2025) -
On the Convergence of the Extended Kalman Filter on Stiefel Manifolds when Observing a Constant Particle with Measurement Errors
by: Figueras, Jordi-Lluís, et al.
Published: (2025) -
Curvature-driven manifold fitting under unbounded isotropic noise
by: Li, Ruowei, et al.
Published: (2026)