Fabrizio Solari,Antonella Bernardini,Nicoletta Cibella
Fabrizio Solari
The increasing availability of registers or administrative archives has been a strong push towards moving from traditional censuses to combined censuses or even completely register based censuses. In this context, a statistical framework ne...
Ian E Fellows,Mark S Handcock
Ian E Fellows
Networked populations consist of inhomogeneous individuals connected via relational ties. The individuals typically vary in multivariate attributes. In some cases primary interest focuses on individual attributes and in others the understan...
Inference with non-probability samples and survey data integration: a science mapping study [0.03%]
非概率抽样推理及调查数据集成：科学知识图谱研究
Camilla Salvatore
Camilla Salvatore
In recent years, survey data integration and inference based on non-probability samples have gained considerable attention. Because large probability-based samples can be cost-prohibitive in many instances, combining a probabilistic survey ...
A Bayesian piecewise linear model for the detection of breakpoints in housing prices [0.03%]
用于检测房价断点的一种贝叶斯分段线性模型
Jabed H Tomal,Hafizur Rahman
Jabed H Tomal
Statistical thresholds occur when the changes in the relationships between a response and predictor variables are not linear but abrupt at some points of the predictor variable values. In this paper, we defined a piecewise-linear regression...
Massimiliano Giacalone
Massimiliano Giacalone
A well-known result in statistics is that a linear combination of two-point forecasts has a smaller Mean Square Error (MSE) than the two competing forecasts themselves (Bates and Granger in J Oper Res Soc 20(4):451-468, 1969). The only case...
Marco Riani,Mia Hubert
Marco Riani
Starting with 2020 volume, the journal Metron has decided to celebrate the centenary since its foundation with three special issues. This volume is dedicated to robust statistics. A striking feature of most applied statistical analyses is t...
The Impact of COVID-19 on Students' Marks: A Bayesian Hierarchical Modeling Approach [0.03%]
COVID-19对学生成绩的影响：贝叶斯分层建模方法
Jabed Tomal,Saeed Rahmati,Shirin Boroushaki et al.
Jabed Tomal et al.
Due to COVID-19, universities across Canada were forced to undergo a transition from classroom-based face-to-face learning and invigilated assessments to online-based learning and non-invigilated assessments. This study attempts to empirica...
A continuous-time hidden Markov model for cancer surveillance using serum biomarkers with application to hepatocellular carcinoma [0.03%]
一种用于癌症监测的连续时间隐藏的马尔可夫模型及其在肝细胞癌中的应用（英语）
Ruben Amoros,Ruth King,Hidenori Toyoda et al.
Ruben Amoros et al.
Hepatocellular carcinoma (HCC) is the fourth most common cause of cancer deaths worldwide, and its early detection is a critical determinant of whether curative treatment is achievable. Early stage HCC is typically asymptomatic. Thus, scree...
Multiply robust imputation procedures for zero-inflated distributions in surveys [0.03%]
具零膨胀分布的调查中的多层鲁棒插补方法
Sixia Chen,David Haziza
Sixia Chen
Item nonresponse in surveys is usually treated by some form of single imputation. In practice, the survey variable subject to missing values may exhibit a large number of zero-valued observations. In this paper, we propose multiply robust i...
Veronika Ročková,Edward I George
Veronika Ročková
In multiple regression under the normal linear model, the presence of multicollinearity is well known to lead to unreliable and unstable maximum likelihood estimates. This can be particularly troublesome for the problem of variable selectio...