Yongcheng Qi
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View article: Research on the influence laws of traffic and temperature loads on the strain responses of urban girder bridges
Research on the influence laws of traffic and temperature loads on the strain responses of urban girder bridges Open
View article: Largest Eigenvalues of Principal Minors of Deformed Gaussian Orthogonal Ensembles and Wishart Matrices
Largest Eigenvalues of Principal Minors of Deformed Gaussian Orthogonal Ensembles and Wishart Matrices Open
Consider a high-dimensional Wishart matrix $\bd{W}=\bd{X}^T\bd{X}$ where the entries of $\bd{X}$ are i.i.d. random variables with mean zero, variance one, and a finite fourth moment $η$. Motivated by problems in signal processing and high-…
View article: Eigenvalues of Product of Ginibre Ensembles and Their Inverses and that of Truncated Haar Unitary Matrices and Their Inverses
Eigenvalues of Product of Ginibre Ensembles and Their Inverses and that of Truncated Haar Unitary Matrices and Their Inverses Open
Consider two types of products of independent random matrices, including products of Ginibre matrices and inverse Ginibre matrices and products of truncated Haar unitary matrices and inverse truncated Haar matrices. Each product matrix has…
View article: Limiting distributions of the likelihood ratio test statistics for independence of normal random vectors
Limiting distributions of the likelihood ratio test statistics for independence of normal random vectors Open
Consider the likelihood ratio test (LRT) statistics for the independence of sub-vectors from a $p$-variate normal random vector. We are devoted to deriving the limiting distributions of the LRT statistics based on a random sample of size $…
View article: Inference of high quantiles of a heavy-tailed distribution from block data
Inference of high quantiles of a heavy-tailed distribution from block data Open
In this paper we consider the estimation problem for high quantiles of a heavy-tailed distribution from block data when only a few largest values are observed within blocks. We propose estimators for high quantiles and prove that these est…
View article: Some results on probabilities of moderate deviations
Some results on probabilities of moderate deviations Open
Let $\{X, X_{n}; n \geq 1\}$ be a sequence of i.i.d. non-degenerate real-valued random variables with $\mathbb{E}X^{2} < \infty$. Let $S_{n} = \sum_{i=1}^{n} X_{i}$, $n \geq 1$. Let $g(\cdot): ~[0, \infty) \rightarrow [0, \infty)$ be a non…
View article: Empirical likelihood method for complete independence test on high-dimensional data
Empirical likelihood method for complete independence test on high-dimensional data Open
Given a random sample of size $n$ from a $p$ dimensional random vector, where\nboth $n$ and $p$ are large, we are interested in testing whether the $p$\ncomponents of the random vector are mutually independent. This is the so-called\ncompl…
View article: Pearson's goodness-of-fit tests for sparse distributions
Pearson's goodness-of-fit tests for sparse distributions Open
Pearson's chi-squared test is widely used to test the goodness of fit between categorical data and a given discrete distribution function. When the number of sets of the categorical data, say k, is a fixed integer, Pearson's chi-squ…
View article: Asymptotic Distributions for Likelihood Ratio Tests for the Equality of Covariance Matrices
Asymptotic Distributions for Likelihood Ratio Tests for the Equality of Covariance Matrices Open
Consider $k$ independent random samples from $p$-dimensional multivariate normal distributions. We are interested in the limiting distribution of the log-likelihood ratio test statistics for testing for the equality of $k$ covariance matri…
View article: Limiting Empirical Spectral Distribution for Products of Rectangular Matrices
Limiting Empirical Spectral Distribution for Products of Rectangular Matrices Open
In this paper, we consider $m$ independent random rectangular matrices whose entries are independent and identically distributed standard complex Gaussian random variables and assume the product of the $m$ rectangular matrices is an $n$ by…
View article: Discussion on paper ‘On studying extreme values and systematic risks with nonlinear time series models and tail dependence measures’ by Zhengjun Zhang
Discussion on paper ‘On studying extreme values and systematic risks with nonlinear time series models and tail dependence measures’ by Zhengjun Zhang Open
I would like to take this opportunity to congratulate Zhengjun for his continuing contribution to extreme-value statistics in recent years. In this review paper, some fundamental theories on univar...
View article: Pearson's goodness-of-fit tests for sparse distributions
Pearson's goodness-of-fit tests for sparse distributions Open
Pearson's chi-squared test is widely used to test the goodness of fit between categorical data and a given discrete distribution function. When the number of sets of the categorical data, say k, is a fixed integer, Pearson's chi-squ…
View article: Limiting Spectral Radii of Circular Unitary Matrices under Light Truncation
Limiting Spectral Radii of Circular Unitary Matrices under Light Truncation Open
Consider a truncated circular unitary matrix which is a $p_n$ by $p_n$ submatrix of an $n$ by $n$ circular unitary matrix after deleting the last $n-p_n$ columns and rows. Jiang and Qi \cite{JiangQi2017} and Gui and Qi \cite{GQ2018} study …
View article: Spectral Radii of Products of Random Rectangular Matrices
Spectral Radii of Products of Random Rectangular Matrices Open
We consider m independent random rectangular matrices whose entries are independent and identically distributed standard complex Gaussian random variables. Assume the product of the m rectangular matrices is an n by n square matrix. The ma…
View article: Adjusted Empirical Likelihood Method for the Tail Index of A Heavy-Tailed Distribution
Adjusted Empirical Likelihood Method for the Tail Index of A Heavy-Tailed Distribution Open
Empirical likelihood is a well-known nonparametric method in statistics and has been widely applied in statistical inference. The method has been employed by Lu and Peng (2002) to constructing confidence intervals for the tail index of a h…
View article: Jackknife Empirical Likelihood Methods
Jackknife Empirical Likelihood Methods Open
Since Jing et al. [1] propose the jackknife empirical likelihood method for U-statistics, the method has been developed and applied to inference problems in statistical theory and other areas such as biostatistics, medical statistics and i…
View article: A method for estimating the power of moments
A method for estimating the power of moments Open
Let X be an observable random variable with unknown distribution function [Formula: see text], [Formula: see text], and let [Formula: see text] We call θ the power of moments of the random variable X. Let [Formula: see…
View article: Limiting Distributions of Spectral Radii for Product of Matrices from the Spherical Ensemble
Limiting Distributions of Spectral Radii for Product of Matrices from the Spherical Ensemble Open
Consider the product of $m$ independent $n\times n$ random matrices from the spherical ensemble for $m\ge 1$. The spectral radius is defined as the maximum absolute value of the $n$ eigenvalues of the product matrix. When $m=1$, the limiti…
View article: Spectral Radii of Truncated Circular Unitary Matrices
Spectral Radii of Truncated Circular Unitary Matrices Open
Consider a truncated circular unitary matrix which is a $p_n$ by $p_n$ submatrix of an $n$ by $n$ circular unitary matrix by deleting the last $n-p_n$ columns and rows. Jiang and Qi (2017) proved that the maximum absolute value of the eige…
View article: On Tests for Complete Independence of Normal Random Vectors
On Tests for Complete Independence of Normal Random Vectors Open
Consider a random sample of $n$ independently and identically distributed $p$-dimensional normal random vectors. A test statistic for complete independence of high-dimensional normal distributions, proposed by Schott (2005), is defined as …
View article: A Simple Point Estimator of the Power of Moments
A Simple Point Estimator of the Power of Moments Open
Let $X$ be an observable random variable with unknown distribution function $F(x) = \mathbb{P}(X \leq x), - \infty < x < \infty$, and let \[\ θ= \sup\left \{ r \geq 0:~ \mathbb{E}|X|^{r} < \infty \right \}. \] We call $θ$ the power of mome…
View article: Empirical Distribution of Scaled Eigenvalues for Product of Matrices from the Spherical Ensemble
Empirical Distribution of Scaled Eigenvalues for Product of Matrices from the Spherical Ensemble Open
Consider the product of $m$ independent $n\times n$ random matrices from the spherical ensemble for $m\ge 1$. The empirical distribution based on the $n$ eigenvalues of the product is called the empirical spectral distribution. Two recent …
View article: Empirical Spectral Distribution for Product of Spherical Ensembles
Empirical Spectral Distribution for Product of Spherical Ensembles Open
Consider the product of $m$ independent $n\times n$ spherical ensembles for $m\ge 1$. The empirical distribution based on the $n$ eigenvalues of the product is called the empirical spectral distribution. A recent paper by Zeng (2016) obtai…
View article: Empirical Distributions of Eigenvalues of Product Ensembles
Empirical Distributions of Eigenvalues of Product Ensembles Open
Assume a finite set of complex random variables form a determinantal point process, we obtain a theorem on the limit of the empirical distribution of these random variables. The result is applied to %We study the limits of the empirical di…
View article: A characterization of a new type of strong law of large numbers
A characterization of a new type of strong law of large numbers Open
Let and . Let be a sequence of independent copies of a real-valued random variable and set . We say satisfies the -type strong law of large numbers (and write ) if almost surely. This paper is devoted to a characterization of . By app…