Cover Image

Can we spot a fake?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mendelson, Shahar, Paouris, Grigoris, Vershynin, Roman
Format:	Preprint
Published:	2024
Subjects:	Statistics Theory Probability 62G10, 60D05 G.3; I.5.1
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sparse joint shift in multinomial classification
by: Tasche, Dirk
Published: (2023)

Order-Constrained Spectral Causality for Multivariate Time Series
by: Dominguez, Alejandro Rodriguez
Published: (2026)

Dimension-independent rates for structured neural density estimation
by: Vandermeulen, Robert A., et al.
Published: (2024)

Breaking the curse of dimensionality in structured density estimation
by: Vandermeulen, Robert A., et al.
Published: (2024)

On the maximal correlation of some stochastic processes
by: Chang, Yinshan, et al.
Published: (2024)

Distribution-free Measures of Association based on Optimal Transport
by: Deb, Nabarun, et al.
Published: (2024)

Conditional distributions for the nested Dirichlet process via sequential imputation
by: Donald, Evan, et al.
Published: (2025)

Stochastic Processes with Modified Lognormal Distribution Featuring Flexible Upper Tail
by: Hristopulos, Dionissios T., et al.
Published: (2025)

Correction to: Multivariate CARMA processes, continuous-time state space models and complete regularity of the innovations of the sampled processes, Bernoulli 18, pp. 46-63, 2012
by: Stelzer, Robert
Published: (2024)

Copula Analysis of Risk: A Multivariate Risk Analysis for VaR and CoVaR using Copulas and DCC-GARCH
by: Singh, Aryan, et al.
Published: (2025)

Learning to reflect: A unifying approach for data-driven stochastic control strategies
by: Christensen, Sören, et al.
Published: (2021)

Object detection under the linear subspace model with application to cryo-EM images
by: Eldar, Amitay, et al.
Published: (2024)

Deconvolution of Arbitrary Distribution Functions and Densities
by: Kaiser, Henrik
Published: (2025)

Poisson hulls
by: Last, Günter, et al.
Published: (2022)

Augmented Functional Random Forests: Classifier Construction and Unbiased Functional Principal Components Importance through Ad-Hoc Conditional Permutations
by: Maturo, Fabrizio, et al.
Published: (2024)

Demystifying Functional Random Forests: Novel Explainability Tools for Model Transparency in High-Dimensional Spaces
by: Maturo, Fabrizio, et al.
Published: (2024)

A Note on Physical Dependence and Mixing Conditions for Triangular Arrays
by: Heinrichs, Florian
Published: (2026)

Low-Rank and Sparse Drift Estimation for High-Dimensional Lévy-Driven Ornstein--Uhlenbeck Processes
by: Palaisti, Marina
Published: (2026)

Bivariate Tempered Space-Fractional Poisson Process and Shock Models
by: Soni, Ritik, et al.
Published: (2023)

Layered Hill estimator for extreme data in clusters
by: Kang, Taegyu, et al.
Published: (2024)

Estimation of the invariant measure of a multidimensional diffusion from noisy observations
by: Maillet, Raphaël, et al.
Published: (2024)

Multivariate CLT for Lévy processes: convergence rates without moment assumptions
by: Cázares, Jorge González, et al.
Published: (2025)

Edge-indexed network time series with graph Ornstein-Uhlenbeck dynamics
by: Chen, Jiaming, et al.
Published: (2026)

The central limit theorem for sum-functions of m-tuples of spacings
by: Mirakhmedov, Sherzod M.
Published: (2024)

Enhancing Visual Interpretability and Explainability in Functional Survival Trees and Forests
by: Loffredo, Giuseppe, et al.
Published: (2025)

Exact and asymptotic distribution theory for the empirical correlation of two AR(1) processes with Gaussian increments
by: Ernst, Philip A., et al.
Published: (2023)

Moderate deviation principle for plug-in estimators of diversity indices on countable alphabets
by: Yu, Zhenhong, et al.
Published: (2025)

Parameter Estimation for multi-mixed Fractional Ornstein--Uhlenbeck Processes by Generalized Method of Moments
by: Almani, Hamidreza Maleki, et al.
Published: (2024)

Ergodicity bounds in the Sliced Wasserstein distance for Schur stable autoregressive processes
by: Barrera, Gerardo, et al.
Published: (2025)

Set-valued conditional functionals of random sets
by: Fissler, Tobias, et al.
Published: (2025)

End-to-End Large Portfolio Optimization for Variance Minimization with Neural Networks through Covariance Cleaning
by: Bongiorno, Christian, et al.
Published: (2025)

When Marginals Match but Structure Fails: Covariance Fidelity in Generative Models
by: Riasat, Nazia
Published: (2026)

Approximation and estimation of scale functions for spectrally negative Levy processes
by: Irie, Haruka, et al.
Published: (2024)

Censored lifespans in a double-truncated sample: Maximum likelihood inference for the exponential distribution
by: Sieg, Fiete, et al.
Published: (2025)

Physics-informed machine learning: A mathematical framework with applications to time series forecasting
by: Doumèche, Nathan
Published: (2025)

Nonparametric density estimation for stationary processes under multiplicative measurement errors
by: Dang, Duc Trong, et al.
Published: (2024)

Randomized Spline Trees for Functional Data Classification: Theory and Application to Environmental Time Series
by: Riccio, Donato, et al.
Published: (2024)

Insights into Tail-Based and Order Statistics
by: Almani, Hamidreza Maleki
Published: (2025)

AERO: A Redirection-Based Optimization Framework Inspired by Judo for Robust Probabilistic Forecasting
by: Vaiapury, Karthikeyan
Published: (2025)

Learning stochastic multiscale models through normalizing flows
by: Saha, Anan, et al.
Published: (2026)