Statistica Neerlandica最新文献_第9页

Editorial Statistics 编辑数据

IF 1.5 3区数学

Statistica Neerlandica Pub Date : 2021-10-17 DOI: 10.1007/s10679-006-6982-6

M. Ristić, M. Duijn, Nan Geloven

引用次数: 0

Bayesian model selection for multilevel mediation models 多层次中介模型的贝叶斯模型选择

IF 1.5 3区数学

Statistica Neerlandica Pub Date : 2021-09-29 DOI: 10.1111/stan.12256

O. Ariyo, E. Lesaffre, G. Verbeke, M. Huisman, Judith Rijnhart, Martijn Heymans, J. Twisk

引用次数: 2

Competing risks regression for clustered survival data via the marginal additive subdistribution hazards model 基于边际加性亚分布风险模型的聚类生存数据竞争风险回归

IF 1.5 3区数学

Statistica Neerlandica Pub Date : 2021-09-13 DOI: 10.1111/stan.12317

Xinyuan Chen, D. Esserman, Fan Li

{"title":"Competing risks regression for clustered survival data via the marginal additive subdistribution hazards model","authors":"Xinyuan Chen, D. Esserman, Fan Li","doi":"10.1111/stan.12317","DOIUrl":"https://doi.org/10.1111/stan.12317","url":null,"abstract":"A population‐averaged additive subdistribution hazards model is proposed to assess the marginal effects of covariates on the cumulative incidence function and to analyze correlated failure time data subject to competing risks. This approach extends the population‐averaged additive hazards model by accommodating potentially dependent censoring due to competing events other than the event of interest. Assuming an independent working correlation structure, an estimating equations approach is outlined to estimate the regression coefficients and a new sandwich variance estimator is proposed. The proposed sandwich variance estimator accounts for both the correlations between failure times and between the censoring times, and is robust to misspecification of the unknown dependency structure within each cluster. We further develop goodness‐of‐fit tests to assess the adequacy of the additive structure of the subdistribution hazards for the overall model and each covariate. Simulation studies are conducted to investigate the performance of the proposed methods in finite samples. We illustrate our methods using data from the STrategies to Reduce Injuries and Develop confidence in Elders (STRIDE) trial.This article is protected by copyright. All rights reserved.","PeriodicalId":51178,"journal":{"name":"Statistica Neerlandica","volume":"58 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90297672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Joint probabilities under expected value constraints, transportation problems, maximum entropy in the mean 期望值约束下的联合概率，运输问题，最大平均熵

IF 1.5 3区数学

Statistica Neerlandica Pub Date : 2021-09-02 DOI: 10.1111/stan.12314

H. Gzyl, Silvia Mayoral

{"title":"Joint probabilities under expected value constraints, transportation problems, maximum entropy in the mean","authors":"H. Gzyl, Silvia Mayoral","doi":"10.1111/stan.12314","DOIUrl":"https://doi.org/10.1111/stan.12314","url":null,"abstract":"There are interesting extensions of the problem of determining a joint probability with known marginals. On the one hand, one may impose size constraints on the joint probabilities. On the other, one may impose additional constraints like the expected values of known random variables. If we think of the marginal probabilities as demands or supplies, and of the joint probability as the fraction of the supplies to be shipped from the production sites to the demand sites, instead of joint probabilities we can think of transportation policies. Clearly, fixing the cost of a transportation policy is equivalent to an integral constraints upon the joint probability. We will show how to solve the cost constrained transportation problem by means of the method of maximum entropy in the mean. We shall also show how this approach leads to an interior point like method to solve the associated linear programming problem. We shall also investigate some geometric structure the space of transportation policies, or joint probabilities or pixel space, using a Riemannian structure associated with the dual of the entropy used to determine bounds between probabilities or between transportation policies.","PeriodicalId":51178,"journal":{"name":"Statistica Neerlandica","volume":"20 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2021-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81947429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Logistic or not Logistic? 物流还是不物流?

IF 1.5 3区数学

Statistica Neerlandica Pub Date : 2021-08-16 DOI: 10.1111/stan.12292

J. Allison, B. Ebner, M. Smuts

引用次数: 1

Bootstrap for integer‐valued GARCH(p, q) processes 整数值GARCH(p, q)过程的自举

IF 1.5 3区数学

Statistica Neerlandica Pub Date : 2021-08-01 DOI: 10.1111/stan.12238

M. Neumann

引用次数: 4

Goodness‐of‐fit tests for Poisson count time series based on the Stein–Chen identity 基于Stein-Chen恒等式的泊松计数时间序列的拟合优度检验

IF 1.5 3区数学

Statistica Neerlandica Pub Date : 2021-07-09 DOI: 10.1111/stan.12252

Boris Aleksandrov, C. Weiß, C. Jentsch

引用次数: 5

Identifying crime generators and spatially overlapping high‐risk areas through a nonlinear model: A comparison between three cities of the Valencian region (Spain) 通过非线性模型识别犯罪产生者和空间重叠的高风险区域:西班牙巴伦西亚地区三个城市的比较

IF 1.5 3区数学

Statistica Neerlandica Pub Date : 2021-06-29 DOI: 10.1111/stan.12254

Á. Briz‐Redón, J. Mateu, F. Montes

{"title":"Identifying crime generators and spatially overlapping high‐risk areas through a nonlinear model: A comparison between three cities of the Valencian region (Spain)","authors":"Á. Briz‐Redón, J. Mateu, F. Montes","doi":"10.1111/stan.12254","DOIUrl":"https://doi.org/10.1111/stan.12254","url":null,"abstract":"The behavior and spatial distribution of crime events can be explained through the characterization of an area in terms of its demography, socioeconomy, and built environment. In particular, recent studies on the incidence of crime in a city have focused on the identification of features of the built environment (specific places or facilities) that may increase crime risk within a certain radius. However, it is hard to identify environmental characteristics that consistently explain crime occurrence across cities and crime types. This article focuses on the assessment of the effect that certain types of places have on the incidence of property crime, robbery, and vandalism in three cities of the Valencian region (Spain): Alicante, Castellon, and Valencia. A nonlinear effects model is used to identify such places and to construct a risk map over the three cities considering the three crime types under research. The results obtained suggest that there are remarkable differences across cities and crime types in terms of the types of places associated with crime outcomes. The identification of high‐risk areas allows verifying that crime is highly concentrated, and also that there is a high level of spatial overlap between the high‐risk areas corresponding to different crime types.","PeriodicalId":51178,"journal":{"name":"Statistica Neerlandica","volume":"46 1","pages":"120 - 97"},"PeriodicalIF":1.5,"publicationDate":"2021-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81648311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Robust prediction of domain compositions from uncertain data using isometric logratio transformations in a penalized multivariate Fay–Herriot model 在惩罚多元Fay-Herriot模型中使用等距logratio变换从不确定数据中稳健预测域组成

IF 1.5 3区数学

Statistica Neerlandica Pub Date : 2021-06-28 DOI: 10.1111/stan.12253

J. Krause, J. P. Burgard, D. Morales

引用次数: 2

Information anchored reference‐based sensitivity analysis for truncated normal data with application to survival analysis 截断正常数据的信息锚定参考敏感性分析及其在生存分析中的应用

IF 1.5 3区数学

Statistica Neerlandica Pub Date : 2021-06-17 DOI: 10.1111/stan.12250

A. Atkinson, S. Cro, J. Carpenter, M. Kenward

引用次数: 2