Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Youzhou Zhou"'
Publikováno v:
Adsorption Science & Technology, Vol 36 (2018)
Two novel adsorbents derived from shrimp shell were prepared and their adsorption performances on Congo red were investigated. The results suggested that treated shrimp shell powder exhibited a higher adsorption capacity than raw shrimp shell powder.
Externí odkaz:
https://doaj.org/article/111cccc07baf4f458d476d67190498af
In this note, we extend the Vandermonde with Arnoldi method recently advocated by P. D. Brubeck, Y. Nakatsukasa and L. N. Trefethen to dealing with the confluent Vandermonde matrix. To apply the Arnoldi process, it is critical to find a Krylov subspa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9a6d26427ac8402b170c5126ca65ff0
http://arxiv.org/abs/2207.01852
http://arxiv.org/abs/2207.01852
Publikováno v:
Electronic Communications in Probability. 26
In this paper, we study the small-time asymptotic behavior of the Kingman coalescent. We obtain the Berry-Esseen bound and the Edgeworth expansion in the central limit theorem. Moreover, by the method of mod-ϕ convergence, we also obtain the precise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3594c68d382543ad8476d6f89c9e4b2c
https://doi.org/10.1214/21-ecp375
https://doi.org/10.1214/21-ecp375
Publikováno v:
Electron. J. Statist. 14, no. 2 (2020), 3192-3229
In this paper, under discrete observations, we study Cramér-type moderate deviations (extended central limit theorem) for parameter estimation in Ornstein-Uhlenbeck process. Our results contain both stationary and explosive cases. For applications,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd0f3460a94b2a263c8d88fe7ae0660a
https://doi.org/10.1214/20-ejs1738
https://doi.org/10.1214/20-ejs1738
Publikováno v:
Advances in Applied Probability. 49:581-602
The Pitman–Yor process is a random discrete measure. The random weights or masses follow the two-parameter Poisson–Dirichlet distribution with parameters 0 < α < 1, θ > -α. The parameters α and θ correspond to the stable and gamma components
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3284b8784eec5eeb7bca58e50346eb03
https://doi.org/10.1017/apr.2017.13
https://doi.org/10.1017/apr.2017.13
Autor:
YouZhou Zhou
Publikováno v:
Science China Mathematics. 60:529-550
The Fleming-Viot process with parent-independent mutation process is one particular neutral population genetic model. As time goes by, some initial species are replaced by mutated ones gradually. Once the population mutation rate is high, mutated spe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54a387c4c1da1781724b2c7bf8866090
https://doi.org/10.1007/s11425-015-0689-0
https://doi.org/10.1007/s11425-015-0689-0
Autor:
Youzhou Zhou
Publikováno v:
J. Appl. Probab. 52, no. 1 (2015), 238-246
In this paper three models are considered. They are the infinitely-many-neutral-alleles model of Ethier and Kurtz (1981), the two-parameter infinitely-many-alleles diffusion model of Petrov (2009), and the infinitely-many-alleles model with symmetric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cf8fb5940c7744252ba68e8da68a84e
https://doi.org/10.1239/jap/1429282618
https://doi.org/10.1239/jap/1429282618
Autor:
Youzhou Zhou
Publikováno v:
Stochastic Processes and their Applications. 124:2771-2798
This paper considers the limiting distribution of π λ , θ , the stationary distribution of the infinitely-many-alleles diffusion with symmetric overdominance (Ethier and Kurtz, 1998). In Feng (2009) the large deviation principle for π λ , θ ind
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::657905b4b5996898c74da60c70e57d01
https://doi.org/10.1016/j.spa.2014.03.011
https://doi.org/10.1016/j.spa.2014.03.011
Autor:
Shui Feng, Youzhou Zhou
Publikováno v:
XI Symposium on Probability and Stochastic Processes ISBN: 9783319139838
The family of Poisson-Dirichlet distributions is a collection of two-parameter probability distributions \(\{PD(\alpha,\theta ): 0 \leq \alpha 0\}\) defined on the infinite-dimensional simplex. The parameters α and θ correspond to the stable and ga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5419f327a441a7ede4835e8710312c04
https://doi.org/10.1007/978-3-319-13984-5_7
https://doi.org/10.1007/978-3-319-13984-5_7
Publikováno v:
Journal of Applied Polymer Science; 1/20/2018, Vol. 135 Issue 4, p1-12, 12p