Decompounding on Compact Symmetric Spaces
Fuente:
arXiv
Saved in:
| Main Author: | Kennerland, Erik |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Decompounding with unknown noise through several independents channels
by: Garnier, Guillaume
Published: (2024)
by: Garnier, Guillaume
Published: (2024)
Decompounding Under General Mixing Distributions
by: Belomestny, Denis, et al.
Published: (2024)
by: Belomestny, Denis, et al.
Published: (2024)
Lower Bounds for Kernel Density Estimation on Symmetric Spaces
by: Asta, Dena Marie
Published: (2024)
by: Asta, Dena Marie
Published: (2024)
On the Estimation of Anisotropic Covariance Functions on Compact Two-Point Homogeneous Spaces
by: Caponera, Alessia
Published: (2025)
by: Caponera, Alessia
Published: (2025)
Analysis of Quantization Noise Suppression Gains in Digital Phased Arrays
by: Kennerland, Erik, et al.
Published: (2024)
by: Kennerland, Erik, et al.
Published: (2024)
Fast Near-Optimal Estimation over Symmetric Norm Balls
by: Neykov, Matey
Published: (2026)
by: Neykov, Matey
Published: (2026)
Power of Knockoff: The Impact of Ranking Algorithm, Augmented Design, and Symmetric Statistic
by: Ke, Zheng Tracy, et al.
Published: (2020)
by: Ke, Zheng Tracy, et al.
Published: (2020)
Maximum Likelihood Estimation of the Parameters of Matrix Variate Symmetric Laplace Distribution
by: Yadav, Pooja, et al.
Published: (2025)
by: Yadav, Pooja, et al.
Published: (2025)
On the admissibility of bounds on the mean of discrete, scalar probability distributions from an iid sample
by: Learned-Miller, Erik
Published: (2025)
by: Learned-Miller, Erik
Published: (2025)
Conformalized Multiple Testing under Unknown Null Distribution with Symmetric Errors
by: Tian, Yang, et al.
Published: (2025)
by: Tian, Yang, et al.
Published: (2025)
Symmetric Bernoulli distributions and minimal dependence copulas
by: Mutti, Alessandro, et al.
Published: (2023)
by: Mutti, Alessandro, et al.
Published: (2023)
Extreme Value Analysis based on Blockwise Top-Two Order Statistics
by: Bücher, Axel, et al.
Published: (2025)
by: Bücher, Axel, et al.
Published: (2025)
Counterfactual Spaces
by: Park, Junhyung, et al.
Published: (2026)
by: Park, Junhyung, et al.
Published: (2026)
Mean First Passage Time of the Symmetric Noisy Voter Model with Arbitrary Initial and Boundary Conditions
by: Kazakevičius, Rytis, et al.
Published: (2025)
by: Kazakevičius, Rytis, et al.
Published: (2025)
Varadhan Functions, Variances, and Means on Compact Riemannian Manifolds
by: Cao, Yueqi
Published: (2026)
by: Cao, Yueqi
Published: (2026)
Quantifying the noise sensitivity of the Wasserstein metric for images
by: Lager, Erik, et al.
Published: (2025)
by: Lager, Erik, et al.
Published: (2025)
Two is better than one: Regularized shrinkage of large minimum variance portfolio
by: Bodnar, Taras, et al.
Published: (2022)
by: Bodnar, Taras, et al.
Published: (2022)
Sliced Space-filling Design with Mixtures
by: Xiong, Zikang, et al.
Published: (2025)
by: Xiong, Zikang, et al.
Published: (2025)
Quantiles, Ranks and Signs in Metric Spaces
by: Liu, Hang, et al.
Published: (2022)
by: Liu, Hang, et al.
Published: (2022)
Products, Abstractions and Inclusions of Causal Spaces
by: Buchholz, Simon, et al.
Published: (2024)
by: Buchholz, Simon, et al.
Published: (2024)
Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices
by: de Surrel, Thibault, et al.
Published: (2025)
by: de Surrel, Thibault, et al.
Published: (2025)
Advanced Distribution Theory for Significance in Scale Space
by: Liu, Rui, et al.
Published: (2025)
by: Liu, Rui, et al.
Published: (2025)
A closed form solution for Bayesian analysis of a simple linear mixed model
by: Vinje, Hilde, et al.
Published: (2026)
by: Vinje, Hilde, et al.
Published: (2026)
Maximum Likelihood Estimation in the Multivariate and Matrix Variate Symmetric Laplace Distributions through Group Actions
by: Yadav, Pooja, et al.
Published: (2025)
by: Yadav, Pooja, et al.
Published: (2025)
Symmetric observations without symmetric causal explanations
by: William, Christian, et al.
Published: (2025)
by: William, Christian, et al.
Published: (2025)
Semiparametric Fisher Information in Models parametrized by a Normed Space
by: Pérez-Izquierdo, Telmo
Published: (2026)
by: Pérez-Izquierdo, Telmo
Published: (2026)
Nonparametric Regression in Dirichlet Spaces: A Random Obstacle Approach
by: Talwai, Prem, et al.
Published: (2024)
by: Talwai, Prem, et al.
Published: (2024)
Bridging Theory and Practice: Statistical Inference for Latent Space Models of Networks
by: Tian, Yuang, et al.
Published: (2026)
by: Tian, Yuang, et al.
Published: (2026)
A Point on Discrete versus Continuous State-Space Markov Chains
by: Muia, Mathias N., et al.
Published: (2024)
by: Muia, Mathias N., et al.
Published: (2024)
High Dimensional Space Oddity
by: Bar, Haim, et al.
Published: (2024)
by: Bar, Haim, et al.
Published: (2024)
Information-Theoretic Guarantees for Recovering Low-Rank Tensors from Symmetric Rank-One Measurements
by: Kızıldağ, Eren C.
Published: (2025)
by: Kızıldağ, Eren C.
Published: (2025)
Profile Likelihood Inference for Anisotropic Hyperbolic Wrapped Normal Models on Hyperbolic Space
by: You, Kisung
Published: (2026)
by: You, Kisung
Published: (2026)
Learning Mixtures of Nonparametric and Convolutional Measures on Effectively Low-dimensional Affine Spaces
by: Chakraborty, Sunrit, et al.
Published: (2026)
by: Chakraborty, Sunrit, et al.
Published: (2026)
Likelihood-based Spacings Goodness-of-Fit Statistics for Univariate Shape-constrained Densities
by: Chan, Kwun Chuen Gary, et al.
Published: (2022)
by: Chan, Kwun Chuen Gary, et al.
Published: (2022)
Symmetric Perceptrons, Number Partitioning and Lattices
by: Vafa, Neekon, et al.
Published: (2025)
by: Vafa, Neekon, et al.
Published: (2025)
Which Spaces can be Embedded in Reproducing Kernel Hilbert Spaces?
by: Schölpple, Max, et al.
Published: (2023)
by: Schölpple, Max, et al.
Published: (2023)
Sparse Linear Regression: Sequential Convex Relaxation, Robust Restricted Null Space Property, and Variable Selection
by: Bi, Shujun, et al.
Published: (2024)
by: Bi, Shujun, et al.
Published: (2024)
The General Formulation of Loss-Based Priors for Parameter Spaces
by: Villa, Cristiano
Published: (2026)
by: Villa, Cristiano
Published: (2026)
Sharp Debiasing for Smooth Functional Estimation in Banach Spaces
by: Chang, Woonyoung, et al.
Published: (2026)
by: Chang, Woonyoung, et al.
Published: (2026)
State-Space Modeling of Time-Varying Spillovers on Networks
by: Papamichalis, Marios, et al.
Published: (2025)
by: Papamichalis, Marios, et al.
Published: (2025)
Similar Items
-
Decompounding with unknown noise through several independents channels
by: Garnier, Guillaume
Published: (2024) -
Decompounding Under General Mixing Distributions
by: Belomestny, Denis, et al.
Published: (2024) -
Lower Bounds for Kernel Density Estimation on Symmetric Spaces
by: Asta, Dena Marie
Published: (2024) -
On the Estimation of Anisotropic Covariance Functions on Compact Two-Point Homogeneous Spaces
by: Caponera, Alessia
Published: (2025) -
Analysis of Quantization Noise Suppression Gains in Digital Phased Arrays
by: Kennerland, Erik, et al.
Published: (2024)