COVINet: a deep learning-based and interpretable prediction model for the county-wise trajectories of COVID-19 in the United States [0.03%]
COVINet：用于预测美国各县COVID-19轨迹的深度学习和可解释性模型
Yukang Jiang,Ting Tian,Wenting Zhou et al.
Yukang Jiang et al.
The devastating impact of COVID-19 on the United States has been profound since its onset in January 2020. Predicting the trajectory of epidemics accurately and devising strategies to curb their progression are currently formidable challeng...
Clustering in point processes on linear networks using nearest neighbour volumes [0.03%]
线性网络上点过程的最近邻体积聚类分析
Juan F Díaz-Sepúlveda,Nicoletta D&#x;Angelo,Giada Adelfio et al.
Juan F Díaz-Sepúlveda et al.
This study introduces a novel method specifically designed to detect clusters of points within linear networks. This method extends a classification approach used for point processes in spatial contexts. Unlike traditional methods that oper...
Muge Mutis,Ufuk Beyaztas,Filiz Karaman et al.
Muge Mutis et al.
We present two innovative functional partial quantile regression algorithms designed to accurately and efficiently estimate the regression coefficient function within the function-on-function linear quantile regression model. Our algorithms...
Bayesian inference for Laplace distribution based on complete and censored samples with illustrations [0.03%]
基于完全样本和审查样本的拉普拉斯分布的贝叶斯推断及其应用举例
Wanyue Sun,Xiaojun Zhu,Zhehao Zhang et al.
Wanyue Sun et al.
In this paper, Bayesian estimates are derived for the location and scale parameters of the Laplace distribution based on complete, Type-I, and Type-II censored samples under different prior settings. Subsequently, Bayesian point and interva...
Inference for depending competing risks from Marshall-Olikin bivariate Kies distribution under generalized progressive hybrid censoring [0.03%]
广义进度混合检查下Marshall-Olikin双变量Kies分布的依赖竞争风险的统计推断
Prakash Chandra,Hemanta Kumar Mandal,Yogesh Mani Tripathi et al.
Prakash Chandra et al.
This paper explores inferences for a competing risk model with dependent causes of failure. When the lifetimes of competing risks are modelled by a Marshall-Olikin bivariate Kies distribution, classical and Bayesian estimations are studied ...
A class of infinite number of unbiased estimators using weighted squared distance for two-deck randomized response model [0.03%]
两类无限无偏估计量使用加权平方距离对于双卡随机响应模型
Daryan Naatjes,Stephen A Sedory,Sarjinder Singh
Daryan Naatjes
We develop a collection of unbiased estimators for the proportion of a population bearing a sensitive characteristic using a randomized response technique with two decks of cards for any choice of weights. The efficiency of the estimator de...
The efficiency of CUSUM schemes for monitoring the multivariate coefficient of variation in short runs process [0.03%]
短运行过程中多变量变异系数CUSUM方案的效率研究
Xuelong Hu,Yixuan Ma,Jiening Zhang et al.
Xuelong Hu et al.
Current monitoring technologies emphasize and address the issue of monitoring high-volume production processes. The high flexibility and diversity of current industrial production processes make monitoring technology for small batch process...
Zhiping Qiu,Manatunga Amita,Limin Peng et al.
Zhiping Qiu et al.
In many medical studies, questionnaires or instruments with item ratings are often used to measure the health outcomes reflecting the disease status. Therefore, combining these item ratings to derive a score that reflects the disease status...
Accurate and efficient stock market index prediction: an integrated approach based on VMD-SNNs [0.03%]
精确高效的股市指数预测：基于VMD-SNNs的综合方法
Xuchang Chen,Guoqiang Tang,Yumei Ren et al.
Xuchang Chen et al.
The stock market index typically mirrors the financial market's performance. Hence, accurate prediction of stock market index trends is essential for investors aiming to mitigate financial risk and enhance future investment returns. Traditi...
Quantile regression based method for characterizing risk-specific behavioral patterns in relation to longitudinal left-censored biomarker data collected from heterogeneous populations [0.03%]
基于分位数回归的量化方法来描述异质性人群中相对于纵向左删失生物标志数据的特定风险行为模式
MinJae Lee,Belinda M Reininger,Kelley Pettee Gabriel et al.
MinJae Lee et al.
There are many studies aimed at promoting positive lifestyle behaviors to reduce lifetime risk of cancer and related diseases. However, assessing these modifiable behaviors through statistical modeling is challenging because of the multidim...