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1. chinaXiv:202109.00058 [pdf]
Dating the First Case of COVID-19 Epidemic from a Probabilistic Perspective
Zhouwang Yang; Yunhe Hu; Zhiwei Ding; Tiande GuoSubjects: Mathematics >> Applied Mathematics
| In the early days of the epidemic of coronavirus disease 2019 (COVID-19), due to insufficient knowledge of the pandemic, inadequate nucleic acid tests, lack of timely data reporting, etc., the origin time of the onset of COVID-19 is difficult to determine. Therefore, source tracing is crucial for infectious disease prevention and control. The purpose of this paper is to infer the origin time of pandemic of COVID-19 based on a data and model hybrid driven method. We model the testing positive rate to fit its actual trend, and use the least squares estimation to obtain the optimal model parameters. Further, the kernel density estimation is applied to infer the origin time of pandemic given the specific confidence probability. By selecting 12 representative regions in the United States for analysis, the dates of the first infected case with 50% confidence probability are mostly between August and October 2019, which are earlier than the officially announced date of the first confirmed case in the United States on January 20, 2020. The experimental results indicate that the COVID-19 pandemic in the United States starts to spread around September 2019 with a high confidence probability. In addition, the existing confirmed cases are also used in Wuhan City and Zhejiang Province in China to infer the origin time of COVID-19 and provide the confidence probability. The results show that the spread of COVID-19 pandemic in China is likely to begin in late December 2019. |
submitted time 2021-09-22 Hits16453， Downloads3920， Comment 0
2. chinaXiv:202108.00116 [pdf]
Some discussions on Hausdorff metric
黄欢Subjects: Mathematics >> Mathematics （General）
| In this paper, we discuss the properties of functions generated using Hausdorff metric. |
3. chinaXiv:202108.00117 [pdf]
耿海洋; 李吉星Subjects: Psychology >> Cognitive Psychology
Subjects: Biology >> Neurobiology
| 近年来，越来越多研究者使用神经网络研究认知和计算。由于研究背景和目的的差异，研究者使用神经网络的方式不尽相同。本文总结了几种“使用神经网络研究认知”的常见思路，并且列举了具体的实例，帮助大家对这些思路进行深入理解。同时，我们也探讨了每种研究思路需要研究者具备哪些能力。最后，对目前“神经网络研究认知”领域中所面临的问题以及如何建立通用人工智能，进行了简单探讨。 |
4. chinaXiv:202105.00070 [pdf]
马健Subjects: Statistics >> Mathematical Statistics
Subjects: Computer Science >> Computer Application Technology
Subjects: Information Science and Systems Science >> Basic Disciplines of Information Science and Systems Science
| 统计独立性是统计学和机器学习领域的基础性概念，如何表示和度量统计独立性是该领域的基本问题。Copula理论提供了统计相关性表示的理论工具，而Copula熵理论则给出了度量统计独立性的概念工具。本文综述了Copula熵的理论和应用，概述了其基本概念和定理，以及估计方法。介绍了Copula熵研究的最新进展，包括其在统计学四个基本问题（结构学习、关联发现、变量选择和时序因果发现等）上的理论应用。讨论了四个理论应用之间的关系，以及其对应的深层次的相关性和因果性概念之间的联系，并将Copula熵的（条件）独立性度量框架与基于核函数和距离的相关性度量框架进行了对比。简述了Copula熵在水文学、环境气象学、生态学、认知神经学、系统生物学、老年医学、公共卫生学，以及能源工程、制造工程和可靠性工程等领域的实际应用。 |
5. chinaXiv:202108.00057 [pdf]
黄欢Subjects: Mathematics >> Mathematics （General）
| In this paper, we give some properties related to platform points of a fuzzy set and their applications. |
6. chinaXiv:202107.00011 [pdf]
Properties of several fuzzy set spaces
Huan HuangSubjects: Mathematics >> Mathematics （General）
| This paper discusses the properties the spaces of fuzzy sets in a metric s- pace equipped with the endograph metric and the sendograph metric, re- spectively. We fist discuss the level characterizations of the Γ-convergence and the endograph metric, and point out the elementary relationships among Γ-convergence, endograph metric and the sendograph metric. On the basis of these results, we present the characterizations of total boundedness, rel- ative compactness and compactness in the space of compact positive α-cuts fuzzy sets equipped with the endograph metric, and in the space of com- pact support fuzzy sets equipped with the sendograph metric, respectively. Furthermore, we give completions of these two kinds of spaces, respectively. |
7. chinaXiv:202107.00070 [pdf]
A Note on the High-dimensional Sparse Fourier Transform in the Continuous Setting
陈亮Subjects: Mathematics >> Theoretical Computer Science
| In this paper, we theoretically propose a new hashing scheme to establish the sparse Fourier transform in high-dimensional space. The estimation of the algorithm complexity shows that this sparse Fourier transform can overcome the curse of dimensionality. To the best of our knowledge, this is the first polynomial-time algorithm to recover the high-dimensional continuous frequencies. |
8. chinaXiv:202105.00069 [pdf]
Copositivity for a class of fourth order symmetric tensors given by scalar dark matter
宋义生; 李旭东Subjects: Mathematics >> Mathematical Physics
| In this paper, we mainly discuss the copositivity of 4th order symmetric tensor defined by scalar dark matter stable under a $\mathbb{Z}_{3}$ discrete group, and obtain an analytically necessary and sufficient condition of the copositivity of such a class of tensors. Furthermore, this analytic expression may be used to verify the vacuum stability for $\mathbb{Z}_{3}$ scalar dark matter. |
9. chinaXiv:202105.00041 [pdf]
倪嘉雨; 涂缘Subjects: Mathematics >> Modeling and Simulation
| 近年来,灰色系统理论在各个领域中的应用愈发广泛.在灰色预测模型中,GM(1,1)模型最为核心与基础,但该模型对振荡序列难以进行模拟,且振荡序列往往无法通过准指数律检验,这削弱了GM(1,1)模型的应用范围.本文利用GM(1,1)模型对单调序列的模拟,对振荡序列的1-AGO序列建立 GM(1,1)模型.再通过引入修正项的IAGO操作,还原到对原振荡序列的模拟.建立了改进的GM(1,1)模型,弥补了传统GM(1,1)模型对振荡序列模拟的缺陷. |
10. chinaXiv:202104.00127 [pdf]
倪嘉雨; 叶林峰; 高德宏; 邓洋Subjects: Mathematics >> Modeling and Simulation
| 灰色系统模型由于其具有简便、数学背景清晰等特点，在数学建模与近似计算等领域都有着十分广泛的应用。灰色系统模型的原理可以概括为利用时间响应函数来模拟数据序列的演化，而其中GM(1,1)模型作为最基础、最能体现灰色建模思想的一个模型，应用最广泛。传统的GM(1,1)模型的时间响应函数是以自然常数 的指数构造的函数，也正是由于这个特点，所以GM(1,1)模型具有较强的局限性，在实际应用中人们往往会将GM(1,1)模型的时间响应函数做一定的修正。其中，最重要的一种修正方法就是将原本的时间响应函数与其他能够描述数据序列性质的函数进行耦合，例如对于具有一定周期性或准周期性的数据序列，就可将原本的时间响应函数与三角函数耦合，构成GM(1,1)-三角函数耦合模型。本文便深入探讨了这种模型的可行性，提出了耦合模型时间响应函数中参数的估计方法，以及误差分析。 |
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