Saved in:
| Main Authors: | Geenens, Gery, Kojadinovic, Ivan, Martini, Tommaso |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.05997 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The empirical discrete copula process
by: Geenens, Gery, et al.
Published: (2025)
by: Geenens, Gery, et al.
Published: (2025)
An iterated $I$-projection procedure for solving the generalized minimum information checkerboard copula problem
by: Kojadinovic, Ivan, et al.
Published: (2025)
by: Kojadinovic, Ivan, et al.
Published: (2025)
Copula-like inference for discrete bivariate distributions with rectangular supports
by: Kojadinovic, Ivan, et al.
Published: (2023)
by: Kojadinovic, Ivan, et al.
Published: (2023)
Deep-testing: the case of dependence detection
by: Geenens, Gery, et al.
Published: (2026)
by: Geenens, Gery, et al.
Published: (2026)
Adaptivity of the NPMLE to finitely discrete mixing distributions in Gaussian/Poisson mixtures
by: Zhang, Yan, et al.
Published: (2026)
by: Zhang, Yan, et al.
Published: (2026)
Unveiling low-dimensional patterns induced by convex non-differentiable regularizers
by: Hejný, Ivan, et al.
Published: (2024)
by: Hejný, Ivan, et al.
Published: (2024)
Six-loop renormalization group analysis of the $ϕ^4 + ϕ^6$ model
by: Adzhemyan, L. Ts., et al.
Published: (2026)
by: Adzhemyan, L. Ts., et al.
Published: (2026)
Sample Average Approximation for Distributionally Robust Optimization with $ϕ$-divergences
by: Li, Yan
Published: (2026)
by: Li, Yan
Published: (2026)
Berry-Esseen Bounds for Statistics of Non-Stationary, $ϕ$-Mixing Random Variables
by: Williams, Brendan, et al.
Published: (2026)
by: Williams, Brendan, et al.
Published: (2026)
Minimax estimation of Functional Principal Components from noisy discretized functional data: the case of smooth processes
by: Bourarach, Nassim, et al.
Published: (2026)
by: Bourarach, Nassim, et al.
Published: (2026)
Revisiting the region determined by Spearman's $ρ$ and Spearman's footrule $ϕ$
by: Tschimpke, Marco, et al.
Published: (2024)
by: Tschimpke, Marco, et al.
Published: (2024)
Thermal and Quantum Phase Transitions of the $ϕ^4$ Model
by: Márián, István Gábor, et al.
Published: (2024)
by: Márián, István Gábor, et al.
Published: (2024)
$ϕ^n$ trajectory bootstrap
by: Li, Wenliang
Published: (2024)
by: Li, Wenliang
Published: (2024)
Data efficiency, dimensionality reduction, and the generalized symmetric information bottleneck
by: Martini, K. Michael, et al.
Published: (2023)
by: Martini, K. Michael, et al.
Published: (2023)
The $ϕ$-PCA Framework: A Unified and Efficiency-Preserving Approach with Robust Variants
by: Hung, Hung, et al.
Published: (2025)
by: Hung, Hung, et al.
Published: (2025)
Efficiency in local differential privacy
by: Steinberger, Lukas
Published: (2023)
by: Steinberger, Lukas
Published: (2023)
Estimation of projection operators with Gaussian noise
by: Castelli, Luca
Published: (2026)
by: Castelli, Luca
Published: (2026)
On the generalized circular projected Cauchy distribution
by: Alzeley, Omar, et al.
Published: (2026)
by: Alzeley, Omar, et al.
Published: (2026)
Wasserstein projection estimators for circular distributions
by: Otani, Naoki, et al.
Published: (2025)
by: Otani, Naoki, et al.
Published: (2025)
On the six-loop scaling dimensions of the $(ϕ^2)^n$ operators in $d=3$
by: Bednyakov, A. V., et al.
Published: (2025)
by: Bednyakov, A. V., et al.
Published: (2025)
Cumulants of multiinformation density in the case of a multivariate normal distribution
by: Marrelec, Guillaume, et al.
Published: (2019)
by: Marrelec, Guillaume, et al.
Published: (2019)
Reductions of discrete Bayesian networks via lumping
by: Hoessly, Linard
Published: (2024)
by: Hoessly, Linard
Published: (2024)
New closed-form estimators for discrete distributions
by: Fischer, Adrian
Published: (2025)
by: Fischer, Adrian
Published: (2025)
Shape-constrained density estimation with Wasserstein projection
by: Matsuda, Takeru, et al.
Published: (2026)
by: Matsuda, Takeru, et al.
Published: (2026)
Estimating axial symmetry using random projections
by: Cholaquidis, Alejandro, et al.
Published: (2025)
by: Cholaquidis, Alejandro, et al.
Published: (2025)
The Bernoulli structure of discrete distributions
by: Fontana, Roberto, et al.
Published: (2024)
by: Fontana, Roberto, et al.
Published: (2024)
Weak convergence from projected laws on a positive-measure set of directions
by: Cholaquidis, Alejandro, et al.
Published: (2026)
by: Cholaquidis, Alejandro, et al.
Published: (2026)
Inference for concave distribution functions under measurement error
by: Benjrada, Mohammed Es-Salih, et al.
Published: (2026)
by: Benjrada, Mohammed Es-Salih, et al.
Published: (2026)
Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses
by: Abdelaleem, Eslam, et al.
Published: (2023)
by: Abdelaleem, Eslam, et al.
Published: (2023)
QBIC of SEM for diffusion processes from discrete observations
by: Kusano, Shogo, et al.
Published: (2024)
by: Kusano, Shogo, et al.
Published: (2024)
Boundary reflection matrices of massive $ϕ_{1,3}$-perturbed unitary minimal models
by: Bajnok, Zoltan, et al.
Published: (2025)
by: Bajnok, Zoltan, et al.
Published: (2025)
Model non-collapse: Minimax bounds for recursive discrete distribution estimation
by: Kanabar, Millen, et al.
Published: (2025)
by: Kanabar, Millen, et al.
Published: (2025)
Theory of functional principal component analysis for discretely observed data
by: Zhou, Hang, et al.
Published: (2022)
by: Zhou, Hang, et al.
Published: (2022)
Modeling discrete common-shock risks through matrix distributions
by: Bladt, Martin, et al.
Published: (2025)
by: Bladt, Martin, et al.
Published: (2025)
Anomalous dimensions from conformal field theory: Generalized $ϕ^{2n+1}$ theories
by: Guo, Yongwei, et al.
Published: (2024)
by: Guo, Yongwei, et al.
Published: (2024)
Bayesian nonparametric modeling of latent partitions via Stirling-gamma priors
by: Zito, Alessandro, et al.
Published: (2023)
by: Zito, Alessandro, et al.
Published: (2023)
An easily verifiable dispersion order for discrete distributions
by: Eberl, Andreas, et al.
Published: (2025)
by: Eberl, Andreas, et al.
Published: (2025)
A simple proof of the discreteness of Dirichlet processes
by: Hjort, Nils Lid
Published: (2026)
by: Hjort, Nils Lid
Published: (2026)
The numeraire e-variable and reverse information projection
by: Larsson, Martin, et al.
Published: (2024)
by: Larsson, Martin, et al.
Published: (2024)
Asymptotic properties of adaptive designs through differentiability in quadratic mean
by: Christensen, Dennis, et al.
Published: (2023)
by: Christensen, Dennis, et al.
Published: (2023)
Similar Items
-
The empirical discrete copula process
by: Geenens, Gery, et al.
Published: (2025) -
An iterated $I$-projection procedure for solving the generalized minimum information checkerboard copula problem
by: Kojadinovic, Ivan, et al.
Published: (2025) -
Copula-like inference for discrete bivariate distributions with rectangular supports
by: Kojadinovic, Ivan, et al.
Published: (2023) -
Deep-testing: the case of dependence detection
by: Geenens, Gery, et al.
Published: (2026) -
Adaptivity of the NPMLE to finitely discrete mixing distributions in Gaussian/Poisson mixtures
by: Zhang, Yan, et al.
Published: (2026)