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03/06/2023
Extreme eigenvalues of sample covariance matrices under generalized elliptical models with applications
We consider the extreme eigenvalues of the sample covariance matrix Q=YY...
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01/27/2023
Sampling without replacement from a high-dimensional finite population
It is well known that most of the existing theoretical results in statis...
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10/20/2022
CLT for random quadratic forms based on sample means and sample covariance matrices
In this paper, we use the dimensional reduction technique to study the c...
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07/20/2022
Matrix Kendall's tau in High-dimensions: A Robust Statistic for Matrix Factor Model
In this article, we first propose generalized row/column matrix Kendall'...
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02/13/2022
Testing the number of common factors by bootstrap in high-dimensional factor models
This paper proposes to test the number of common factors in high-dimensi...
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06/01/2021
Quantification of Carbon Sequestration in Urban Forests
Vegetation, trees in particular, sequester carbon by absorbing carbon di...
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05/27/2021
Central Limit Theory for Linear Spectral Statistics of Normalized Separable Sample Covariance Matrix
This paper focuses on the separable covariance matrix when the dimension...
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01/06/2021
Factor Modelling for Clustering High-dimensional Time Series
We propose a new unsupervised learning method for clustering a large num...
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12/12/2020
PAIRS AutoGeo: an Automated Machine Learning Framework for Massive Geospatial Data
An automated machine learning framework for geospatial data named PAIRS ...
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11/04/2020
Physics-Informed Neural Network Super Resolution for Advection-Diffusion Models
Physics-informed neural networks (NN) are an emerging technique to impro...
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11/04/2020
Monitoring the Impact of Wildfires on Tree Species with Deep Learning
One of the impacts of climate change is the difficulty of tree regrowth ...
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09/02/2020
Lifelong Object Detection
Recent advances in object detection have benefited significantly from ra...
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04/20/2020
Robust Covariance Estimation for High-dimensional Compositional Data with Application to Microbial Communities Analysis
Microbial communities analysis is drawing growing attention due to the r...
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04/18/2020
Statistical inference in massive datasets by empirical likelihood
In this paper, we propose a new statistical inference method for massive...
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11/19/2019
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning
This paper considers the problem of resource allocation in stream proces...
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01/28/2019
On eigenvalues of a high-dimensional spatial-sign covariance matrix
Sample spatial-sign covariance matrix is a much-valued alternative to sa...
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01/16/2019
Tracy-Widom limit for the largest eigenvalue of high-dimensional covariance matrices in elliptical distributions
Let X be an M× N random matrices consisting of independent M-variate ell...
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11/14/2018
Performance Estimation of Synthesis Flows cross Technologies using LSTMs and Transfer Learning
Due to the increasing complexity of Integrated Circuits (ICs) and System...
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03/21/2018
High-dimensional covariance matrices in elliptical distributions with application to spherical test
This paper discusses fluctuations of linear spectral statistics of high-...
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01/06/2018
High Dimensional Elliptical Sliced Inverse Regression in non-Gaussian Distributions
Sliced inverse regression (SIR) is the most widely-used sufficient dimen...
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12/23/2017
