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of 53
pro vyhledávání: '"Hoang, Van Ha"'
This paper focuses on estimating the invariant density function $f_X$ of the strongly mixing stationary process $X_t$ in the multiplicative measurement errors model $Y_t = X_t U_t$, where $U_t$ is also a strongly mixing stationary process. We propose
Externí odkaz:
http://arxiv.org/abs/2403.13410
Autor:
Tracie A. Seimon, Nguyen Van Long, Minh Le, Timothy E. M. McCormack, Tham Thi Nguyen, Hanh Ngo, Nguyen Tai Thang, Thuy Hoang, Steven G. Platt, Hoang Van Ha, Nguyen Van Trong, Brian Horne, Colleen A. Barrett, Denise McAloose, Paul P. Calle
Publikováno v:
Environmental DNA, Vol 6, Iss 5, Pp n/a-n/a (2024)
ABSTRACT Swinhoe's (or Yangtze) giant softshell turtle (Rafetus swinhoei) is a large, critically endangered freshwater turtle and considered among the rarest species in the world. As of 2024, only two individuals have been confirmed to remain alive,
Externí odkaz:
https://doaj.org/article/e4319d622c0e44d491d7ce05d18d8f85
We consider the statistical analysis of heterogeneous data for prediction in situations where the observations include functions, typically time series. We extend the modeling with Mixtures-of-Experts (ME), as a framework of choice in modeling hetero
Externí odkaz:
http://arxiv.org/abs/2202.02249
Autor:
Nguyen, De, Hoang, Van Ha, Ngo, Phuong Ha Thi, Vo, Tho Anh Ngoc, Nguyen, Thuy Thanh Doan, Nguyen, Phuong Tuyet
Publikováno v:
In Electrochimica Acta 20 May 2024 487
A two-class mixture model, where the density of one of the components is known, is considered. We address the issue of the nonparametric adaptive estimation of the unknown probability density of the second component. We propose a randomly weighted ke
Externí odkaz:
http://arxiv.org/abs/2007.15518
Autor:
Nguyen, Thuy Thanh Doan, Nguyen, De, Vo, Phu Phong, Doan, Hoan Ngoc, Pham, Huu Thinh Nguyen, Hoang, Van Ha, Tien Le, Khoa, Kinashi, Kenji, Huynh, Vu Tan, Nguyen, Phuong Tuyet
Publikováno v:
In Journal of Molecular Liquids 1 July 2023 381
We consider a stochastic individual-based model in continuous time to describe a size-structured population for cell divisions. This model is motivated by the detection of cellular aging in biology. We address here the problem of nonparametric estima
Externí odkaz:
http://arxiv.org/abs/1710.09172
Publikováno v:
In Journal of Statistical Planning and Inference January 2022 216:51-69
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In the multidimensional setting, we consider the errors-in-variables model. We aim at estimating the unknown nonparametric multivariate regression function with errors in the covariates. We devise an adaptive estimator based on projection kernels on
Externí odkaz:
http://arxiv.org/abs/1601.02762