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20092024
most citedCovariance matrix estimation for stationary time series

124 citations · 194 across the 14 of their papers we have counts for

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7 papers · 1 filter

math.ST2019★ 15 cited

KoPA: Automated Kronecker Product Approximation

Chencheng Cai, Rong Chen, Han Xiao

We consider the problem of matrix approximation and denoising induced by the Kronecker product decomposition. Specifically, we propose to approximate a given matrix by the sum of a…

math.ST2013★ 22 cited

Wald tests of singular hypotheses

Mathias Drton, Han Xiao

Motivated by the problem of testing tetrad constraints in factor analysis, we study the large-sample distribution of Wald statistics at parameter points at which the gradient of th…

math.ST2011★ 3 cited

Simultaneous Inference of Covariances

Han Xiao, Wei Biao Wu

We consider asymptotic distributions of maximum deviations of sample covariance matrices, a fundamental problem in high-dimensional inference of covariances. Under mild dependence…

math.ST2011★ 16 cited

Asymptotic Inference of Autocovariances of Stationary Processes

Han Xiao, Wei Biao Wu

The paper presents a systematic theory for asymptotic inference of autocovariances of stationary processes. We consider nonparametric tests for serial correlations based on the max…

math.ST2011★ 124 cited

Covariance matrix estimation for stationary time series

Han Xiao, Wei Biao Wu

We obtain a sharp convergence rate for banded covariance matrix estimates of stationary processes. A precise order of magnitude is derived for spectral radius of sample covariance…

math.ST2009

Smoothness of Gaussian conditional independence models

Mathias Drton, Han Xiao

Conditional independence in a multivariate normal (or Gaussian) distribution is characterized by the vanishing of subdeterminants of the distribution's covariance matrix. Gaussian…