Cover Image

Spectral Equivariance and Geometric Transport in Reproducing Kernel Hilbert Spaces: A Unified Framework for Orthogonal Polynomial and Kernel Estimation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Nembé, Jocelyn
Format:	Preprint
Published:	2025
Subjects:	Statistics Theory 2020: 62G05, 46E22, 42C05, 62G20, 47B32
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adaptive Nonparametric Estimation via Kernel Transport on Group Orbits: Oracle Inequalities and Minimax Rates
by: Nembe, Jocelyn
Published: (2025)

TwinKernel Estimation for Point Process Intensity Functions: Adaptive Nonparametric Methods via Orbital Regularity
by: Nembé, Jocelyn
Published: (2025)

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

Conditional expectation using compactification operators
by: Das, Suddhasattwa
Published: (2023)

Joint Estimation of Conditional Mean and Covariance for Unbalanced Panels
by: Filipovic, Damir, et al.
Published: (2024)

Kernel Embedding for Operator-Valued Measures and Its Application to Quantum Tomography
by: Mayer, Philipp Nikolas, et al.
Published: (2026)

Measuring and testing tail equivalence
by: Koike, Takaaki, et al.
Published: (2024)

The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels
by: Kalinke, Florian, et al.
Published: (2024)

A simplified directional KeRF algorithm
by: Isidoros, Iakovidis, et al.
Published: (2024)

Robust Tail Index Estimation under Random Censoring via Minimum Density Power Divergence
by: Guesmia, Nour Elhouda, et al.
Published: (2025)

Robust and Smooth Estimation of the Extreme Tail Index via Weighted Minimum Density Power Divergence
by: Mancer, Saida, et al.
Published: (2025)

Predicting hazards of climate extremes: a statistical perspective
by: Pacifici, Carlotta, et al.
Published: (2025)

Likelihood Ratio Tests by Kernel Gaussian Embedding
by: Santoro, Leonardo V., et al.
Published: (2025)

Gaussian processes in Non-commutative probability
by: Jorgensen, Palle E. T., et al.
Published: (2024)

The Pokémon Theorem and other Fairness Impossibility Results
by: Smola, Daniel Matsui, et al.
Published: (2026)

Data-driven Error Estimation: Excess Risk Bounds without Class Complexity as Input
by: Krishnamurthy, Sanath Kumar, et al.
Published: (2024)

Where does the tail start? Inflection Points and Maximum Curvature as Boundaries
by: Cabral, Rafael, et al.
Published: (2024)

Change-Point Analysis of Time Series with Evolutionary Spectra
by: Casini, Alessandro, et al.
Published: (2021)

Adaptive Density Estimation Using Projection Kernels and Penalized Comparison to Overfitting
by: Hoang, Van Ha, et al.
Published: (2025)

Bayesian nonparametric copulas with tail dependence
by: Ausín, Maria Concepción, et al.
Published: (2025)

IAPO estimators in Exponentiated Frechet case
by: Jordanova, Pavlina, et al.
Published: (2025)

Asymptotic independence in higher dimensions and its implications on risk management
by: Das, Bikramjit, et al.
Published: (2024)

Adaptive Kernel Regression for Constrained Route Alignment: Theory and Iterative Data Sharpening
by: Du, Shiyin, et al.
Published: (2026)

Spectral representations of interpolation spaces of reproducing kernel Hilbert spaces
by: Bitzer, Michael, et al.
Published: (2025)

On Kernels and Covariance Structures in Hilbert Space Gaussian Processes
by: Sababe, Saeed Hashemi
Published: (2025)

Alignment-Sensitive Minimax Rates for Spectral Algorithms with Learned Kernels
by: Huang, Dongming, et al.
Published: (2025)

Unifying small area estimators based on area-level and unit-level models through calibration
by: Acero, William, et al.
Published: (2024)

Spectral Regularized Kernel Two-Sample Tests
by: Hagrass, Omar, et al.
Published: (2022)

Spectral Regularized Kernel Goodness-of-Fit Tests
by: Hagrass, Omar, et al.
Published: (2023)

Kernel Embeddings and the Separation of Measure Phenomenon
by: Santoro, Leonardo V., et al.
Published: (2025)

Nonparametric Estimation via Expected Order Statistics
by: Lando, Tommaso, et al.
Published: (2026)

Characterizing extremal dependence on a hyperplane
by: Wan, Phyllis
Published: (2024)

Shorting Dynamics and Structured Kernel Regularization
by: Tian, James
Published: (2025)

Interpretable and flexible non-intrusive reduced-order models using reproducing kernel Hilbert spaces
by: Diaz, Alejandro N, et al.
Published: (2025)

Pseudo-differential operators associated with the gyrator transform on modulation spaces with Shubin-type symbols
by: Pasawan, Durgesh
Published: (2025)

Kernel Single-Index Bandits: Estimation, Inference, and Learning
by: Arya, Sakshi, et al.
Published: (2026)

Adaptive estimation of Sobolev-type energy functionals on the sphere
by: Durastanti, Claudio
Published: (2026)

Correcting Mode Proportion Bias in Generalized Bayesian Inference via a Weighted Kernel Stein Discrepancy
by: Afzali, Elham, et al.
Published: (2025)

A Benchmark Study of Classical and Dual Polynomial Regression (DPR)-Based Probability Density Estimation Technique
by: Sarkar, Shantanu, et al.
Published: (2025)

The Optimality of Kernel Classifiers in Sobolev Space
by: Lai, Jianfa, et al.
Published: (2024)