Zobrazeno 1 - 10
of 1 213
pro vyhledávání: '"Tu, Jiyuan"'
This paper presents a novel strategy for constructing body source terms in the high-order lattice Boltzmann method (LBM), designed to efficiently introduce various physical phenomena by modifying the non-equilibrium distribution function. The source
Externí odkaz:
http://arxiv.org/abs/2411.10751
Recently, reinforcement learning has gained prominence in modern statistics, with policy evaluation being a key component. Unlike traditional machine learning literature on this topic, our work places emphasis on statistical inference for the paramet
Externí odkaz:
http://arxiv.org/abs/2310.02581
The debiased estimator is a crucial tool in statistical inference for high-dimensional model parameters. However, constructing such an estimator involves estimating the high-dimensional inverse Hessian matrix, incurring significant computational cost
Externí odkaz:
http://arxiv.org/abs/2306.10395
Publikováno v:
Shipin Kexue, Vol 45, Iss 15, Pp 316-328 (2024)
Excessive residues of neonicotinoid insecticides in food and environmental samples pose a serious threat to human health. Therefore, it is urgent to improve the detection capacity of neonicotinoid pesticide residues. Various biosensor-based platforms
Externí odkaz:
https://doaj.org/article/18da9c3866b5464982aea3605c54d1af
Privacy-preserving data analysis has become more prevalent in recent years. In this study, we propose a distributed group differentially private Majority Vote mechanism, for the sign selection problem in a distributed setup. To achieve this, we apply
Externí odkaz:
http://arxiv.org/abs/2209.04419