Atif Evren,Elif Tuna,Erhan Ustaoglu et al.
Atif Evren et al.
This study intends to provide a new insight into the concentration and dominance indices as the concerns grow about the increasing concentration in the markets around the world. Most of the studies attempting to measure concentration or dom...
Minimizing the expected value of the asymmetric loss function and an inequality for the variance of the loss [0.03%]
非对称损失函数的期望值最小化以及损失方差的一个不等式
Naoya Yamaguchi,Yuka Yamaguchi,Ryuei Nishii
Naoya Yamaguchi
The coefficients of regression are usually estimated for minimization problems with asymmetric loss functions. In this paper, we rather correct predictions so that the prediction error follows a generalized Gaussian distribution. In our met...
Understanding students' evaluations of professors using non-negative matrix factorization [0.03%]
用非负矩阵分解理解学生对教授的评价
Necla Gündüz,Ernest Fokoué
Necla Gündüz
In this paper, we use Nonnegative Matrix Factorization (NMF) and several other state of the art statistical machine learning techniques to provide an in-depth study of university professor evaluations by their students. We specifically use ...
Fatma Yerlikaya-Özkurt,Pakize Taylan,Müjgan Tez
Fatma Yerlikaya-Özkurt
A useful model for data analysis is the partially nonlinear model where response variable is represented as the sum of a nonparametric and a parametric component. In this study, we propose a new procedure for estimating the parameters in th...
Jackknife empirical likelihood test for testing one-sided Lévy distribution [0.03%]
利用切片经验似然进行单侧Lévy分布的检验研究
Deepesh Bhati,Sudheesh K Kattumannil
Deepesh Bhati
Based on U-empirical process we construct a jackknife empirical likelihood-based test for testing one-sided Lévy distribution. Adjusted jackknife empirical likelihood test also developed. The simulation study shows that the proposed tests ...
Sha Li,Daniel A Griffith,Hong Shu
Sha Li
Many phenomena exist in the space-time domain, often with a low data sampling rate and sparsely distributed network of observed points. Therefore, spatio-temporal interpolation with high accuracy is necessary. In this paper, a space-time re...
Sensitivity index to measure dependence on parameters for rankings and top- k rankings [0.03%]
一种衡量参数对排名及前k项排名影响的敏感性指标
Antoine Rolland,Jairo Cugliari
Antoine Rolland
In a multivariate framework, ranking a data set can be done by using an aggregation function in order to obtain a global score for each individual, and then by using these scores to rank the individuals. The choice of the aggregation functi...
Identifying mediating variables with graphical models: an application to the study of causal pathways in people living with HIV [0.03%]
用图形模型识别中介变量：艾滋病患者因果途径研究中的应用
Adrian Dobra,Katherine Buhikire,Joachim G Voss
Adrian Dobra
We empirically demonstrate that graphical models can be a valuable tool in the identification of mediating variables in causal pathways. We make use of graphical models to elucidate the causal pathway through which the treatment influences ...
A measure of asymmetry for ordinal square contingency tables with an application to modified LANZA score data [0.03%]
一种序次方表不对称性的度量及其在LANZA评分数据上的应用
Satoru Shinoda,Kouji Yamamoto,Kouji Tahata et al.
Satoru Shinoda et al.
In clinical researches, various clinical scales with ordered categories are used to evaluate the efficacy and safety/toxicity of treatments. Such the clinical scales are sometimes summarized on the transition between the baseline and the st...
Evaluation of robust outlier detection methods for zero-inflated complex data [0.03%]
零膨胀复杂数据的鲁棒离群点检测方法评估
M Templ,J Gussenbauer,P Filzmoser
M Templ
Outlier detection can be seen as a pre-processing step for locating data points in a data sample, which do not conform to the majority of observations. Various techniques and methods for outlier detection can be found in the literature deal...