Cover Image

KRAFTY: Khatri-Rao Framework for Joint Cluster Recovery

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Siyi, Lubberts, Zachary, Pensky, Marianna
Format:	Preprint
Published:	2026
Subjects:	Statistics Theory Methodology 62H30, 62F12, 05C80
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Perfect Clustering in Nonuniform Hypergraphs
by: Chan, Ga-Ming Angus, et al.
Published: (2025)

Semiparametric Modeling and Analysis for Longitudinal Network Data
by: He, Yinqiu, et al.
Published: (2023)

Vertex misalignment and changepoint localization in network time series
by: Chen, Tianyi, et al.
Published: (2026)

Finite mixture representations of zero-and-$N$-inflated distributions for count-compositional data
by: Menezes, André F. B., et al.
Published: (2025)

The non-backtracking random walk and its usage for vertex clustering
by: Bolla, Marianna
Published: (2025)

Stein's method of moment estimators for local dependency exponential random graph models
by: Fischer, Adrian, et al.
Published: (2025)

Asymptotics for non-degenerate multivariate $U$-statistics with estimated nuisance parameters under the null and local alternative hypotheses
by: Desgagné, Alain, et al.
Published: (2024)

Structure and Noise in Dense and Sparse Random Graphs: Percolated Stochastic Block Model via the EM Algorithm and Belief Propagation with Non-Backtracking Spectra
by: Bolla, Marianna, et al.
Published: (2023)

Omnibus goodness-of-fit tests for univariate continuous distributions based on trigonometric moments
by: Desgagné, Alain, et al.
Published: (2025)

Random line graphs and edge-attributed network inference
by: Lubberts, Zachary, et al.
Published: (2021)

Physical Parameter Calibration
by: Li, Yang, et al.
Published: (2022)

K-Means as a Radial Basis function Network: a Variational and Gradient-based Equivalence
by: Arredondo, Felipe de Jesus Felix, et al.
Published: (2026)

Estimation of on- and off-time distributions in a dynamic Erdős-Rényi random graph
by: Mandjes, Michel, et al.
Published: (2024)

Euclidean mirrors and dynamics in network time series
by: Athreya, Avanti, et al.
Published: (2022)

On the spherical cardioid distribution and its goodness-of-fit
by: García-Portugués, Eduardo
Published: (2026)

Graphical lasso for extremes
by: Wan, Phyllis, et al.
Published: (2023)

Shrinkage estimators in zero-inflated Bell regression model with application
by: Seifollahi, Solmaz, et al.
Published: (2024)

Fast estimation of Kendall's Tau and conditional Kendall's Tau matrices under structural assumptions
by: van der Spek, Rutger, et al.
Published: (2022)

Minimum $Φ$-distance estimators for finite mixing measures
by: Wei, Yun, et al.
Published: (2023)

Estimators for multivariate allometric regression model
by: Tsukuda, Koji, et al.
Published: (2024)

Selective inference after convex clustering with $\ell_1$ penalization
by: Bachoc, François, et al.
Published: (2023)

On the choice of the two tuning parameters for nonparametric estimation of an elliptical distribution generator
by: Ryan, Victor, et al.
Published: (2024)

On the Bernstein-smoothed lower-tail Spearman's rho estimator
by: Ouimet, Frédéric, et al.
Published: (2025)

Mixed difference integer-valued GARCH model for $ \mathbb{Z}$-valued time series
by: Aknouche, Abdelhakim, et al.
Published: (2026)

Statistical comparison of Hidden Markov Models via Fragment Analysis
by: Hernandez-Suarez, Carlos M., et al.
Published: (2025)

Multivariate MM-estimators with auxiliary Scale for Linear Models with Structured Covariance Matrices
by: Lopuhaa, Hendrik Paul
Published: (2025)

High dimensional convergence rates for sparse precision estimators for matrix-variate data
by: Sun, Hongqiang, et al.
Published: (2025)

Bayesian joint quantile autoregression
by: Castillo-Mateo, Jorge, et al.
Published: (2023)

Consistent line clustering using geometric hypergraphs
by: Alaluusua, Kalle, et al.
Published: (2025)

On the spherical Laplace distribution
by: You, Kisung, et al.
Published: (2022)

Copula-Based Estimation of Causal Effects in Multiple Linear and Path Analysis Models
by: Ali, Alam, et al.
Published: (2024)

Robust $M$-Estimation of Scatter Matrices via Precision Structure Shrinkage
by: Nikai, Soma, et al.
Published: (2026)

Robust spectral clustering with rank statistics
by: Cape, Joshua, et al.
Published: (2024)

Network Cross-Validation for Nested Models by Edge-Sampling
by: Yang, Bokai, et al.
Published: (2025)

Subspace decompositions for association structure learning in multivariate categorical response regression
by: Zhao, Hongru, et al.
Published: (2024)

Modeling Stock Returns and Volatility Using Bivariate Gamma Generalized Laplace Law
by: Kozubowski, Tomasz J., et al.
Published: (2026)

Inference in high-dimensional logistic regression under tensor network dependence
by: Miles, Josh, et al.
Published: (2026)

Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models
by: Dreveton, Maximilien, et al.
Published: (2024)

Bayesian Mixtures Models with Repulsive and Attractive Atoms
by: Beraha, Mario, et al.
Published: (2023)

Fused Multinomial Logistic Regression Utilizing Summary-Level External Machine-learning Information
by: Dai, Chi-Shian, et al.
Published: (2026)