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High-dimensional covariance matrices in elliptical distributions with application to spherical test Journal article
Annals of Statistics, 2019,Volume: 47,Issue: 1,Page: 527-555
Authors:  Hu J.;  Li W.;  Liu Z.;  Zhou W.
Favorite  |  View/Download:4/0  |  Submit date:2019/02/14
Covariance matrix  Elliptical distribution  High-dimensional data  Sphericity test  
HIGH-DIMENSIONAL COVARIANCE MATRICES IN ELLIPTICAL DISTRIBUTIONS WITH APPLICATION TO SPHERICAL TEST Journal article
ANNALS OF STATISTICS, 2019,Volume: 47,Issue: 1,Page: 527-555
Authors:  Hu, Jiang;  Li, Weiming;  Liu, Zhi;  Zhou, Wang
Favorite  |  View/Download:10/0  |  Submit date:2019/01/17
Covariance Matrix  High-dimensional Data  Elliptical Distribution  Sphericity Test  
Estimating spot volatility in the presence of infinite variation jumps Journal article
STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 2018,Volume: 128,Issue: 6,Page: 1958-1987
Authors:  Liu, Qiang;  Liu, Yiqi;  Liu, Zhi
Favorite  |  View/Download:12/0  |  Submit date:2018/10/30
Semi-martingale  High Frequency Data  Spot Volatility  Kernel Estimate  Central Limit Theorem  
Estimating the integrated volatility using high-frequency data with zero durations Journal article
JOURNAL OF ECONOMETRICS, 2018,Volume: 204,Issue: 1,Page: 18-32
Authors:  Liu, Zhi;  Kong, Xin-Bing;  Jing, Bing-Yi
Favorite  |  View/Download:18/0  |  Submit date:2018/10/30
Ito Semimartingale  High Frequency Data  Multiple Transactions  Realized Power Variations  Microstructure Noise  Central Limit Theorem  
Estimation of spot volatility with superposed noisy data Journal article
NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE, 2018,Volume: 44,Page: 62-79
Authors:  Liu, Qiang;  Liu, Yiqi;  Liu, Zhi;  Wang, Li
Favorite  |  View/Download:15/0  |  Submit date:2018/10/30
High Frequency Financial Data  Spot Volatility  Range-based Estimation  Kernel Estimate  Multiple Records  Microstructure Noise  Central Limit Theorem  
Realized Laplace Transform of Volatility with Microstructure Noise Journal article
Scandinavian Journal of Statistics, 2018
Authors:  Li Wang;  Zhi Liu;  Xiaochao Xia
Favorite  |  View/Download:2/0  |  Submit date:2019/06/10
High-frequency Data  Stable Convergence  Laplace Transform Of Volatility  Microstructure Noise  Pre-averaging  
Consistency and asymptotics of a Poisson intensity least-squares estimator for partially observed jump-diffusion processes Journal article
STATISTICS & PROBABILITY LETTERS, 2017,Volume: 123,Page: 8-16
Authors:  Djouadi, Seddik M.;  Maroulas, Vasileios;  Pan, Xiaoyang;  Xiong, Jie
Favorite  |  View/Download:11/0  |  Submit date:2018/10/30
Consistency  Asymptotic normality  Jump diffusions  Least-squares estimator  Poisson processes  Partially observed system  
Estimating integrated co-volatility with partially miss-ordered high frequency data Journal article
Statistical Inference for Stochastic Processes, 2016,Volume: 19,Issue: 2,Page: 175-197
Authors:  Liu Z.
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Central Limit Theorem  Diffusion Model  High Frequency Data  Multiple Transactions  Stable Convergence  
Asymptotics of Sample Entropy Production Rate for Stochastic Differential Equations Journal article
Journal of Statistical Physics, 2016,Volume: 163,Issue: 5,Page: 1211-1234
Authors:  Wang,Feng Yu;  Xiong,Jie;  Xu,Lihu
Favorite  |  View/Download:4/0  |  Submit date:2019/06/03
Sample Entropy Production Rate  Central Limit Theorem  Moderate Deviation Principle  Logarithmic Iteration Law  Stochastic Differential Equation  Harnack Inequality  
Asymptotics of the Entropy Production Rate for d-Dimensional Ornstein–Uhlenbeck Processes Journal article
Journal of Statistical Physics, 2015,Volume: 160,Issue: 5,Page: 1336-1353
Authors:  Wang,Ran;  Xu,Lihu
Favorite  |  View/Download:3/0  |  Submit date:2019/06/03
Central Limit Theorem  Entropy Production Rate  Functional Inequality  Law Of Iterated Logarithm  Moderate Deviation Principle  Ornstein–uhlenbeck Process