V Gómez-Rubio,J Lagos,F Palmí-Perales
V Gómez-Rubio
Finding players with similar profiles is an important problem in sports such as football (also known as soccer in some countries). Scouting for new players requires a wealth of information about the available players so that similar profile...
New insights into multicollinearity in the Cox proportional hazard models: the Kibria-Lukman estimator and its application [0.03%]
Cox比例风险模型中多重共线性新见解：Kibria-Lukman估计量及其应用
Solmaz Seifollahi,Zakariya Yahya Algamal,Mohammad Arashi
Solmaz Seifollahi
This paper examines the Cox proportional hazards model (CPHM) in the presence of multicollinearity. Typically, the maximum partial likelihood estimator (MPLE) is employed to estimate the model coefficients, which works well when the covaria...
Amanda M Y Chu,Yasuhiro Omori,Hing-Yu So et al.
Amanda M Y Chu et al.
It is not uncommon for surveys in the social sciences to ask sensitive questions. Asking sensitive questions indirectly enables collecting of the desirable sensitive information while at the same time protecting respondents' data privacy. T...
Robust parameter estimation and variable selection in regression models for asymmetric heteroscedastic data [0.03%]
回归模型中用于非对称异方差数据的稳健参数估计和变量选择方法研究
Y Güney,O Arslan
Y Güney
In many real-world scenarios, not only the location but also the scale and even the skewness of the response variable may be influenced by explanatory variables. To achieve accurate predictions in such cases, it is essential to model locati...
Yang Li,Qijing Yan,Mixia Wu et al.
Yang Li et al.
Variance changepoints in economics, finance, biomedicine, oceanography, etc. are frequent and significant. To better detect these changepoints, we propose a new technique for constructing confidence intervals for the variances of a noisy se...
Amy M J O&#x;Shea,Jeffrey D Dawson
Amy M J O&#x;Shea
Time series data are increasingly common in many areas of the health sciences, and in some instances, may have natural boundaries serving as performance guidelines or as thresholds associated with adverse outcomes. Such boundaries may be la...
BSTPP: a python package for Bayesian spatiotemporal point processes [0.03%]
BSTPP：一个用于贝叶斯时空点过程的Python包
Isaac Manring,Honglang Wang,George Mohler et al.
Isaac Manring et al.
Spatiotemporal point process models have a rich history of effectively modeling event data in space and time. However, they are sometimes neglected due to the difficulty of implementing them. There is a lack of packages with the ability to ...
Bayes factors for two-group comparisons in Cox regression with an application for reverse-engineering raw data from summary statistics [0.03%]
Cox回归中两组比较的贝叶斯因子以及从汇总统计中反演原始数据的应用
Maximilian Linde,Jorge N Tendeiro,Don van Ravenzwaaij
Maximilian Linde
The use of Cox proportional hazards regression to analyze time-to-event data is ubiquitous in biomedical research. Typically, the frequentist framework is used to draw conclusions about whether hazards are different between patients in an e...
Hierarchical Bayesian models for small area estimation with GB2 distribution [0.03%]
基于GB2分布的小域估计的层次贝叶斯模型
Binod Manandhar,Balgobin Nandram
Binod Manandhar
We present predictive hierarchical Bayesian models to fit continuous, and positively skewed size data from small areas with the generalized beta of the second kind (GB2) distribution. We discuss three different GB2 mixture models. In the mo...
Influence diagnostics in the Heckman selection models based on EM algorithms [0.03%]
基于EM算法的Heckman选择模型的影响诊断方法研究
Marcos S Oliveira,Marcos O Prates,Christian E Galarza et al.
Marcos S Oliveira et al.
This study presents diagnostic techniques for Heckman selection models estimated using the EM algorithm. The focus is on the selection t and normal models, based on the bivariate Student's-t and bivariate normal distributions, respectively....