Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Hu, Zhishui"'
Publikováno v:
J. Appl. Probab. 61 (2024) 1139-1152
The asymptotic behavior of the Jaccard index in $G(n,p)$, the classical Erd\"{o}s-R\'{e}nyi random graphs model, is studied in this paper, as $n$ goes to infinity. We first derive the asymptotic distribution of the Jaccard index of any pair of distin
Externí odkaz:
http://arxiv.org/abs/2311.09804
Autor:
Hu, Zhishui, Zhang, Yiting
Publikováno v:
In Stochastic Processes and their Applications December 2024 178
A novel IV estimation method, that we term Locally Trimmed LS (LTLS), is developed which yields estimators with (mixed) Gaussian limit distributions in situations where the data may be weakly or strongly persistent. In particular, we allow for nonlin
Externí odkaz:
http://arxiv.org/abs/2006.12595
Publikováno v:
Journal of Applied Probability; Dec2024, Vol. 61 Issue 4, p1139-1152, 14p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Journal of Applied Probability, 2019 Jun 01. 56(2), 533-545.
Externí odkaz:
https://www.jstor.org/stable/45277591
Autor:
Csorgo, Miklos, Hu, Zhishui
This paper studies the problem of testing the null assumption of no-change in the mean of chronologically ordered independent observations on a random variable $X$ {\it versus} the at most one change in the mean alternative hypothesis. The approach t
Externí odkaz:
http://arxiv.org/abs/1304.1370
Autor:
Csörgő, Miklós, Hu, Zhishui
Let $\{X, X_n, n\geq 1\}$ be a sequence of independent identically distributed non-degenerate random variables. Put $S_0=0, S_n = \sum^n_{i=1} X_i$ and $V_n^2=\sum^n_{i=1} X_i^2, n\ge 1.$ A weak convergence theorem is established for the self-normali
Externí odkaz:
http://arxiv.org/abs/1204.2074
Publikováno v:
Annals of Statistics 2007, Vol. 35, No. 2, 673-696
Cram\'{e}r-type large deviations for means of samples from a finite population are established under weak conditions. The results are comparable to results for the so-called self-normalized large deviation for independent random variables. Cram\'{e}r
Externí odkaz:
http://arxiv.org/abs/0708.1880
Autor:
Hu, Zhishui1 (AUTHOR), Feng, Qunqiang1 (AUTHOR) fengqq@ustc.edu.cn
Publikováno v:
Communications in Statistics: Theory & Methods. 2024, Vol. 53 Issue 3, p834-847. 14p.