Jinyuan Chang | DeepAI

DeepAI AI Chat

Featured Co-authors

Lin Yang
100 publications
Cheng Chen
78 publications
Jian Kang
45 publications
Xiaohui Chen
32 publications
Cheng Liu
23 publications
Xiaofeng Shao
20 publications
Jia Zhang
19 publications
Peter Hall
14 publications
Qiwei Yao
14 publications
Eric D. Kolaczyk
13 publications
Jing He
12 publications

∙ 03/07/2023

Statistical inferences for complex dependence of multimodal imaging data

Statistical analysis of multimodal imaging data is a challenging task, s...

0 Jinyuan Chang, et al. ∙

∙ 02/23/2023

Efficiently handling constraints with Metropolis-adjusted Langevin algorithm

In this study, we investigate the performance of the Metropolis-adjusted...

0 Jinyuan Chang, et al. ∙

∙ 12/28/2022

Statistical inference for high-dimensional spectral density matrix

The spectral density matrix is a fundamental object of interest in time ...

0 Jinyuan Chang, et al. ∙

∙ 09/11/2022

Testing the martingale difference hypothesis in high dimension

In this paper, we consider testing the martingale difference hypothesis ...

0 Jinyuan Chang, et al. ∙

∙ 12/31/2021

Modelling matrix time series via a tensor CP-decomposition

We propose to model matrix time series based on a tensor CP-decompositio...

7 Jinyuan Chang, et al. ∙

∙ 12/19/2021

Edge differentially private estimation in the β-model via jittering and method of moments

A standing challenge in data privacy is the trade-off between the level ...

0 Jinyuan Chang, et al. ∙

∙ 08/07/2021

Culling the herd of moments with penalized empirical likelihood

Models defined by moment conditions are at the center of structural econ...

0 Jinyuan Chang, et al. ∙

∙ 04/27/2021

Central Limit Theorems for High Dimensional Dependent Data

Motivated by statistical inference problems in high-dimensional time ser...

0 Jinyuan Chang, et al. ∙

∙ 08/29/2020

An autocovariance-based learning framework for high-dimensional functional time series

Many scientific and economic applications involve the analysis of high-d...

0 Jinyuan Chang, et al. ∙

∙ 06/13/2020

A power one test for unit roots based on sample autocovariances

We propose a new unit-root test for a stationary null hypothesis H_0 aga...

0 Jinyuan Chang, et al. ∙

∙ 12/19/2018

Optimal covariance matrix estimation for high-dimensional noise in high-frequency data

In this paper, we consider efficiently learning the structural informati...

0 Jinyuan Chang, et al. ∙

∙ 05/28/2018

High-dimensional statistical inferences with over-identification: confidence set estimation and specification test

Over-identification is a signature feature of the influential Generalize...

0 Jinyuan Chang, et al. ∙

∙ 03/07/2018

Estimation of edge density in noisy networks

While it is common practice in applied network analysis to report variou...

0 Jinyuan Chang, et al. ∙

∙ 01/20/2018

A frequency domain analysis of the error distribution from noisy high-frequency data

Data observed at high sampling frequency are typically assumed to be an ...

0 Jinyuan Chang, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world