Jie Zhou

Sichuan University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Yunmin Zhu

Qilu Hospital of Shandong University

Enbin Song

Sichuan University

Yao Rong

Yunnan University

Mengjiao Tang

Yunnan University

Xiaomei Qu

State Ethnic Affairs Commission

X. Rong Li

Dalian University of Technology

Sanfeng Hu

Yunnan University

Jianxin Pan

Dongguan University of Technology

Jianbo Li

Huazhong University of Science and Technology

Zhisheng You

Sichuan University

Cooperative Institutions

Sichuan University

Chinese Academy of Sciences

Sun Yat-sen University

Huazhong University of Science and Technology

University of Science and Technology of China

Tsinghua University

Yangzhou University

University of Electronic Science and Technology of China

Chongqing University of Science and Technology

Southwest Minzu University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Estimation and optimal structure selection of high-dimensional Toeplitz covariance matrix

Journal of Multivariate Analysis (2021)

Yihe Yang Jie Zhou Jianxin Pan

Matérn covariance function

CMA-ES

Covariance mapping

10.1016/j.jmva.2021.104739

Cite

Citations (7)

The optimal robust finite-horizon Kalman filtering for multiple sensors with different stochastic failure rates

Applied Mathematics Letters (2012)

Xiaomei Qu Jie Zhou

10.1016/j.aml.2012.03.036

Cite

Citations (35)

A Randomized Approach for Mid-range Aircraft Conflict Detection Based on the Unscented Particle Filter

Yan Zeng Jie Zhou Yaoguo Wu

Based on the unscented particle filter, we propose a randomized approach to estimate the detection probability in the dynamic detection system. Considering the radar observations, we present a more accurate and real probabilistic model than that proposed by Pradini et al. for the mid-range aircraft conflict detection, and a detection algorithm based on the presented randomized approach. Monte Carlo simulations indicate that the presented model and associated algorithm are efficient

Unscented transform

Randomized Algorithm

10.1109/iccias.2006.295343

Cite

Citations (3)

Kalman Filtering Fusion

CRC Press eBooks (2012)

Yunmin Zhu Jie Zhou Xiaojing Shen Enbin Song Yingting Luo

10.1201/b12284-6

Cite

Citations (0)

A characterization of fuzzy compactness and its applications

Fuzzy Sets and Systems (1995)

Jie Zhou

Characterization

Lattice (music)

10.1016/0165-0114(94)00372-e

Cite

Citations (1)

Thinking about Agricultural Insurance in China

Modern Agricultural Sciences (2008)

Jie Zhou

agricultural insurance becomes increasingly important.agricultural insurance as a kind of policy insurance,the policy support of the government is its requirement of smoothly development,insurance company and peasant are involved in it.The development status,existing problems and development thought of agricultural insurance in China are discussed,the necessity and feasibility of rapid developing policy agricultural insurance are analyzed,and several policy proposals for perfecting policy agricultural insurance with Chinese characteristics are put forward.

Business interruption insurance

Peasant

Agricultural Development

Source

Cite

Citations (0)

A Spectral-Based Framework for Hypothesis Testing in Populations of Networks

Statistica Sinica (2022)

Li Chen Nathaniel Josephs Lizhen Lin Jie Zhou Eric D. Kolaczyk

In this paper, we propose a new spectral-based approach to hypothesis testing for populations of networks.The primary goal is to develop a test to determine whether two given samples of networks come from the same random model or distribution.Our test statistic is based on the trace of a centered and scaled adjacency matrix to the third power, which we prove converges to the standard normal distribution as the number of nodes tends to infinity.The asymptotic power guarantee of the test is also provided.The proper interplay between the number of networks and the number of nodes for each network is explored in characterizing the theoretical properties of the proposed testing statistic.Our test is applicable to both binary and weighted networks, operates under a very general framework where the networks are allowed to be large and sparse, and can be extended to multiple-sample testing.We provide an extensive simulation study to demonstrate the superior performance of our tests over the existing methods and apply our tests to three real datasets.

TRACE (psycholinguistics)

Adjacency matrix

Statistic

10.5705/ss.202021.0306

Cite

Citations (5)

Intrinsic Losses Based on Information Geometry and Their Applications

Entropy (2017)

Yao Rong Mengjiao Tang Jie Zhou

One main interest of information geometry is to study the properties of statistical models that do not depend on the coordinate systems or model parametrization; thus, it may serve as an analytic tool for intrinsic inference in statistics. In this paper, under the framework of Riemannian geometry and dual geometry, we revisit two commonly-used intrinsic losses which are respectively given by the squared Rao distance and the symmetrized Kullback–Leibler divergence (or Jeffreys divergence). For an exponential family endowed with the Fisher metric and α -connections, the two loss functions are uniformly described as the energy difference along an α -geodesic path, for some α ∈ { − 1 , 0 , 1 } . Subsequently, the two intrinsic losses are utilized to develop Bayesian analyses of covariance matrix estimation and range-spread target detection. We provide an intrinsically unbiased covariance estimator, which is verified to be asymptotically efficient in terms of the intrinsic mean square error. The decision rules deduced by the intrinsic Bayesian criterion provide a geometrical justification for the constant false alarm rate detector based on generalized likelihood ratio principle.

Fisher information

Kullback–Leibler divergence

Minimum description length

Intrinsic dimension

Divergence (linguistics)

10.3390/e19080405

Cite

Citations (5)

K Distribution Sea Clutter Modeling and Simulation Based on ZMNL

Jie Zhou Chen Dong Dewei Sun

This paper introduces the method of constructing the sea clutter, sea clutter amplitude distribution and power spectrum distribution characteristics of the model, using the ZMNL method of the K distribution sea clutter simulation, simulation results show that, it greatly reduces the amount of computation based on ZMNL method of K Distribution Sea Clutter Modeling and Simulation, improves the simulation speed.

10.1109/icicta.2015.279

Cite

Citations (6)

State Scheduling Method Of Redundant Nodes In Power Communication Network Based On Least Square Method

International Journal of Autonomous and Adaptive Communications Systems (2020)

Youxiang Zhu Bintai Xu Jie Zhou Liang Ma Yingjie Jiang

Square (algebra)

10.1504/ijaacs.2022.10034570

Cite

Citations (0)