When does morbidity start? An analysis of changes in morbidity between 2013 and 2019 in Italy [0.03%]
意大利2013至2019年的疾病负担变化趋势分析：疾病负担从何时开始？
Andrea Pastore,Stefano F Tonellato,Emanuele Aliverti et al.
Andrea Pastore et al.
Morbidity is one of the key aspects for assessing populations' well-being. In particular, chronic diseases negatively affect the quality of life in the old age and the risk that more years added to lives are years of disability and illness....
Quantile regression for count data: jittering versus regression coefficients modelling in the analysis of credits earned by university students after remote teaching [0.03%]
基于大学远程教学的学分数据分位数回归分析：抖动与回归系数建模方法比较
Viviana Carcaiso,Leonardo Grilli
Viviana Carcaiso
The extension of quantile regression to count data raises several issues. We compare the traditional approach, based on transforming the count variable using jittering, with a recently proposed approach in which the coefficients of quantile...
Yang Ni,Veerabhadran Baladandayuthapani,Marina Vannucci et al.
Yang Ni et al.
Graphical models are powerful tools that are regularly used to investigate complex dependence structures in high-throughput biomedical datasets. They allow for holistic, systems-level view of the various biological processes, for intuitive ...
A COVINDEX based on a GAM beta regression model with an application to the COVID-19 pandemic in Italy [0.03%]
基于GAM贝塔回归模型的Covindex在意大利新冠疫情中的应用
Luca Scrucca
Luca Scrucca
Detecting changes in COVID-19 disease transmission over time is a key indicator of epidemic growth. Near real-time monitoring of the pandemic growth is crucial for policy makers and public health officials who need to make informed decision...
Tin Lok James Ng,Thomas Brendan Murphy
Tin Lok James Ng
We propose a weighted stochastic block model (WSBM) which extends the stochastic block model to the important case in which edges are weighted. We address the parameter estimation of the WSBM by use of maximum likelihood and variational app...
Special issue on statistical analysis of networks: Preface by the guest editors [0.03%]
关于网络统计分析特刊：客座编辑的前言
Michael Schweinberger,Francesco C Stingo,Maria Prosperina Vitale
Michael Schweinberger
The special issue on Statistical Analysis of Networks aspires to convey the breadth and depth of statistical learning with networks, ranging from networks that are observed to networks that are unobserved and learned from data. It includes ...
Bayesian dynamic network actor models with application to South Korean COVID-19 patient movement data [0.03%]
贝叶斯动态网络行为模型在韩国新冠病人迁移数据中的应用
Antonio Mario Arrizza,Alberto Caimo
Antonio Mario Arrizza
Motivated by the ongoing COVID-19 pandemic, this article introduces Bayesian dynamic network actor models for the analysis of infected individuals' movements in South Korea during the first three months of 2020. The relational event data mo...
Online network monitoring [0.03%]
在线网络监控
Anna Malinovskaya,Philipp Otto
Anna Malinovskaya
An important problem in network analysis is the online detection of anomalous behaviour. In this paper, we introduce a network surveillance method bringing together network modelling and statistical process control. Our approach is to apply...
Francesca Torti,Marco Riani,Gianluca Morelli
Francesca Torti
The purpose of this paper is to show in regression clustering how to choose the most relevant solutions, analyze their stability, and provide information about best combinations of optimal number of groups, restriction factor among the erro...
Augusto Cerqua,Roberta Di Stefano
Augusto Cerqua
The first cluster of coronavirus cases in Europe was officially detected on 21st February 2020 in Northern Italy, even if recent evidence showed sporadic first cases in Europe since the end of 2019. In this study, we have tested the presenc...