Copertina

Estimating Max-Stable Random Vectors with Discrete Spectral Measure using Model-Based Clustering

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Boulin, Alexis
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Statistics Theory
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Structured linear factor models for tail dependence
di: Boulin, Alexis, et al.
Pubblicazione: (2025)

Estimation of the Spectral Measure from ConvexCombinations of Regularly Varying RandomVectors
di: Oesting, Marco, et al.
Pubblicazione: (2020)

Gambling-Based Confidence Sequences for Bounded Random Vectors
di: Ryu, J. Jon, et al.
Pubblicazione: (2024)

High-dimensional variable clustering based on maxima of a weakly dependent random process
di: Boulin, Alexis, et al.
Pubblicazione: (2023)

Detection of Correlated Random Vectors
di: Elimelech, Dor, et al.
Pubblicazione: (2024)

Maximal Inequalities for Independent Random Vectors
di: Basu, Supratik, et al.
Pubblicazione: (2025)

Measures of non-simplifyingness for conditional copulas and vines
di: Derumigny, Alexis
Pubblicazione: (2025)

Discrete Gaussian Vector Fields On Meshes
di: Gillan, Michael, et al.
Pubblicazione: (2025)

Spectral Clustering for Directed Graphs via Likelihood Estimation on Stochastic Block Models
di: Zhang, Ning, et al.
Pubblicazione: (2024)

Fundamental Limits of Spectral Clustering in Stochastic Block Models
di: Zhang, Anderson Ye
Pubblicazione: (2023)

CLT for Linear Spectral Statistics in High-Dimensional Random Effects Models
di: Xie, Ran, et al.
Pubblicazione: (2024)

Estimation of High-dimensional Nonlinear Vector Autoregressive Models
di: Han, Yuefeng, et al.
Pubblicazione: (2025)

Quantifying Dependence Between Random Vectors: A New Index with Applications
di: yin, Chuancun
Pubblicazione: (2026)

Factor Strength Estimation in Vector and Matrix Time Series Factor Models
di: Chen, Weilin, et al.
Pubblicazione: (2024)

Discrete-Valued Signal Estimation via Low-Complexity Message Passing Algorithm for Highly Correlated Measurements
di: Furudoi, Tomoharu, et al.
Pubblicazione: (2024)

Consistency of Graphical Model-based Clustering: Robust Clustering using Bayesian Spanning Forest
di: Zheng, Yu, et al.
Pubblicazione: (2024)

Anti-Concentration Inequalities for the Difference of Maxima of Gaussian Random Vectors
di: Belloni, Alexandre, et al.
Pubblicazione: (2024)

Multifunction Estimation in a Time-Discretized Skorokhod Reflection Problem
di: Marie, Nicolas
Pubblicazione: (2024)

On Semi-supervised Estimation of Discrete Distributions under f-divergences
di: Erol, Hasan Sabri Melihcan, et al.
Pubblicazione: (2024)

Spectral co-Clustering in Multi-layer Directed Networks
di: Su, Wenqing, et al.
Pubblicazione: (2023)

Minimally Discrete and Minimally Randomized p-Values
di: Habiger, Joshua, et al.
Pubblicazione: (2026)

Discrete Sequential Barycenter Arrays: Representation, Approximation, and Modeling of Probability Measures
di: Jara, Alejandro, et al.
Pubblicazione: (2025)

Inferences for Random Graphs Evolved by Clustering Attachment
di: Markovich, Natalia, et al.
Pubblicazione: (2024)

Exponential Concentration Inequalities For Independent Random Vectors Under Sublinear Expectations
di: Seyoum, Nahom
Pubblicazione: (2026)

Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels
di: Agterberg, Joshua, et al.
Pubblicazione: (2022)

Optimal Fidelity Estimation from Binary Measurements for Discrete and Continuous Variable Systems
di: Fawzi, Omar, et al.
Pubblicazione: (2024)

An Introduction to Complex Random Tensors
di: Pandey, Divyanshu, et al.
Pubblicazione: (2024)

Minimax Optimal Probability Matrix Estimation For Graphon With Spectral Decay
di: Chen, Yuchen, et al.
Pubblicazione: (2024)

Minimax Optimal Estimation of Mean and Covariance Functions with Spectral Regularization
di: Gupta, Naveen, et al.
Pubblicazione: (2026)

Estimation of Population Linear Spectral Statistics by Marchenko--Pastur Inversion
di: Deitmar, Ben
Pubblicazione: (2025)

A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random
di: Ho, Binh H., et al.
Pubblicazione: (2025)

Debiasing Welch's Method for Spectral Density Estimation
di: Astfalck, Lachlan C., et al.
Pubblicazione: (2023)

Time-Uniform Confidence Spheres for Means of Random Vectors
di: Chugg, Ben, et al.
Pubblicazione: (2023)

Statistical Limits in Random Tensors with Multiple Correlated Spikes
di: Qi, Yang, et al.
Pubblicazione: (2025)

A General Design-Based Framework and Estimator for Randomized Experiments
di: Harshaw, Christopher, et al.
Pubblicazione: (2022)

ROSE Random Forests for Robust Semiparametric Efficient Estimation
di: Young, Elliot H., et al.
Pubblicazione: (2024)

Scalable Estimation of Crossed Random Effects Models via Multi-way Grouping
di: Takeishi, Shota, et al.
Pubblicazione: (2025)

Gaussian Approximation for Lag-Window Estimators and the Construction of Confidence bands for the Spectral Density
di: Kreiss, Jens-Peter, et al.
Pubblicazione: (2024)

Variational Tail Bounds for Norms of Random Vectors and Matrices
di: Bahmani, Sohail
Pubblicazione: (2025)

Leave-one-out Singular Subspace Perturbation Analysis for Spectral Clustering
di: Zhang, Anderson Y., et al.
Pubblicazione: (2022)