On the improved estimation of the normal mixture components for longitudinal data [0.03%]
纵向数据正常混合成分估算改进的估计方法研究
Tapio Nummi,Jyrki Möttönen,Pasi Väkeväinen et al.
Tapio Nummi et al.
When analyzing real data sets, statisticians often face the question that the data are heterogeneous and it may not necessarily be possible to model this heterogeneity directly. One natural option in this case is to use the methods based on...
Halima S Twabi,Samuel O M Manda,Dylan S Small et al.
Halima S Twabi et al.
This paper presents a causal inference estimation method for longitudinal observational studies with multiple outcomes. The method uses marginal structural models with inverse probability treatment weights (MSM-IPTWs). In developing the pro...
Gene mutation estimations via mutual information and Ewens sampling based CNN & machine learning algorithms [0.03%]
基于互信息和Ewens抽样CNN及机器学习算法的基因突变估计
Wanyang Dai
Wanyang Dai
We conduct gene mutation rate estimations via developing mutual information and Ewens sampling based convolutional neural network (CNN) and machine learning algorithms. More precisely, we develop a systematic methodology through constructin...
On the use and misuse of time-rescaling to assess the goodness-of-fit of self-exciting temporal point processes [0.03%]
时序点过程的再缩放法使用及其误用以评估自我激发型时间序列点过程拟合优度的方法
M-A El-Aroui
M-A El-Aroui
The paper first highlights important drawbacks and biases related to the common use of time-rescaling to assess the goodness-of-fit (Gof) of self-exciting temporal point process (SETPP) models. Then it presents a new predictive time-rescali...
G Babykina,V Vandewalle,J Carretero-Bravo
G Babykina
Nowadays data are often timestamped, thus, when analysing the events which may occur several times (recurrent events), it is desirable to model the whole dynamics of the counting process rather than to focus on a total number of events. Suc...
Gradient test to assess homogeneity of probabilities in discrete-time transition models with application in agricultural science data [0.03%]
基于农业科学数据的离散时间过渡模型中的概率齐性的梯度检验方法及其应用
Laura Vicuña Torres de Paula,Idemauro Antonio Rodrigues de Lara,Cesar Auguto Taconeli et al.
Laura Vicuña Torres de Paula et al.
Longitudinal studies in discrete or continuous time involving categorical data are common in agricultural sciences. Transition models can be used as a means to analyse the resulting data, especially when the aim is to describe category chan...
Change point detection to analyze air pollution and its economic effects: an exponentially weighted moving average perspective [0.03%]
基于指数权衡移动平均的变点检测及其在空气污染与经济效应分析中的应用
Shabbir Ahmad,Muhammad Riaz,Tahir Mahmood et al.
Shabbir Ahmad et al.
Air pollution has a direct impact on every society, leading to consequential effects on the economy of a nation. Poor air quality adversely affects human health, resulting in various economic outcomes such as rising healthcare costs, dimini...
Integrative rank-based regression for multi-source high-dimensional data with multi-type responses [0.03%]
多源高维数据的多元响应整合秩回归方法研究
Fuzhi Xu,Shuangge Ma,Qingzhao Zhang
Fuzhi Xu
Practical scenarios often present instances where the types of responses are different between multi-source different datasets, reflecting distinct attributes or characteristics. In this paper, an integrative rank-based regression is propos...
An integrated change point detection and online monitoring approach for the ratio of two variables using clustering-based control charts [0.03%]
基于聚类控制图的两个变量的比例的整体变化点检测及在线监测方法
Adel Ahmadi Nadi,Ali Yeganeh,Sandile Charles Shongwe et al.
Adel Ahmadi Nadi et al.
Online monitoring of the ratio of two random characteristics rather than monitoring their individual behaviors has many applications. For this aim, there are various control charts, known as RZ charts in the literature, e.g. Shewhart, memor...
Upper quantile-based CUSUM-type control chart for detecting small changes in image data [0.03%]
基于上分位数的cusum型控制图在检测图像数据小变化中的应用
Anik Roy,Partha Sarathi Mukherjee
Anik Roy
Image monitoring is an important research problem that has wide applications in various fields, including manufacturing industries, satellite imaging, medical diagnostics, and so forth. Traditional image monitoring control charts perform ra...