International Statistical Review最新文献_第8页

IF 2 3区数学

International Statistical Review Pub Date : 2022-10-12 DOI: 10.1111/insr.12526

Kenneth Lange, Hua Zhou

引用次数: 1

Simultaneous inference for linear mixed model parameters with an application to small area estimation 线性混合模型参数的同时推理及其在小区域估计中的应用

IF 2 3区数学

International Statistical Review Pub Date : 2022-09-18 DOI: 10.1111/insr.12519

Katarzyna Reluga, María-José Lombardía, Stefan Sperlich

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引用次数: 2

A Computational Perspective on Projection Pursuit in High Dimensions: Feasible or Infeasible Feature Extraction 高维投影寻踪的计算视角：可行或不可行特征提取

IF 2 3区数学

International Statistical Review Pub Date : 2022-08-19 DOI: 10.1111/insr.12517

Chunming Zhang, Jimin Ye, Xiaomei Wang

{"title":"A Computational Perspective on Projection Pursuit in High Dimensions: Feasible or Infeasible Feature Extraction","authors":"Chunming Zhang, Jimin Ye, Xiaomei Wang","doi":"10.1111/insr.12517","DOIUrl":"10.1111/insr.12517","url":null,"abstract":"<p>Finding a suitable representation of multivariate data is fundamental in many scientific disciplines. Projection pursuit (\u0000<math>\u0000 <mtext>PP</mtext></math>) aims to extract interesting ‘non-Gaussian’ features from multivariate data, and tends to be computationally intensive even when applied to data of low dimension. In high-dimensional settings, a recent work (Bickel et al., 2018) on \u0000<math>\u0000 <mtext>PP</mtext></math> addresses asymptotic characterization and conjectures of the feasible projections as the dimension grows with sample size. To gain practical utility of and learn theoretical insights into \u0000<math>\u0000 <mtext>PP</mtext></math> in an integral way, data analytic tools needed to evaluate the behaviour of \u0000<math>\u0000 <mtext>PP</mtext></math> in high dimensions become increasingly desirable but are less explored in the literature. This paper focuses on developing computationally fast and effective approaches central to finite sample studies for (i) visualizing the feasibility of \u0000<math>\u0000 <mtext>PP</mtext></math> in extracting features from high-dimensional data, as compared with alternative methods like \u0000<math>\u0000 <mtext>PCA</mtext></math> and \u0000<math>\u0000 <mtext>ICA</mtext></math>, and (ii) assessing the plausibility of \u0000<math>\u0000 <mtext>PP</mtext></math> in cases where asymptotic studies are lacking or unavailable, with the goal of better understanding the practicality, limitation and challenge of \u0000<math>\u0000 <mtext>PP</mtext></math> in the analysis of large data sets.</p>","PeriodicalId":14479,"journal":{"name":"International Statistical Review","volume":"91 1","pages":"140-161"},"PeriodicalIF":2.0,"publicationDate":"2022-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/insr.12517","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46111599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Calibration Techniques Encompassing Survey Sampling, Missing Data Analysis and Causal Inference 包含调查抽样、缺失数据分析和因果推断的校准技术

IF 2 3区数学

International Statistical Review Pub Date : 2022-08-11 DOI: 10.1111/insr.12518

Shixiao Zhang, Peisong Han, Changbao Wu

引用次数: 1

Administrative Records for Survey Methodology Edited by Asaph Young Chun, Michael D. Larsen, Gabriele Durrant, Jerome P. ReiterJohn Wiley and Sons, 2021, 384 pages, $128.95 (hardcover) ISBN: 978-1-1192-7204-5 《调查方法管理记录》，Asaph Young Chun, Michael D. Larsen, Gabriele Durrant, Jerome P. ReiterJohn Wiley and Sons, 2021, 384页，128.95美元(精装)ISBN: 978-1-1192-7204-5

IF 2 3区数学

International Statistical Review Pub Date : 2022-07-18 DOI: 10.1111/insr.12516

Reijo Sund

引用次数: 0

Extreme Value Theory with Applications to Natural Hazards: From Statistical Theory to Industrial Practice Edited by Nicolas Bousquet and Pietro BernardaraSpringer Cham, 2021, xxii + 481 pages, $199.99 ISBN: 978-3-030-74941-5 极值理论及其在自然灾害中的应用:从统计理论到工业实践，Nicolas Bousquet和Pietro BernardaraSpringer Cham主编，2021,22 + 481页，199.99美元ISBN: 978-3-030- 74945 -5

IF 2 3区数学

International Statistical Review Pub Date : 2022-07-18 DOI: 10.1111/insr.12513

Fabrizio Durante

引用次数: 0

Game Data Science , Magy Seif El-Nasr, Truong-Huy D. Nguyen, Alessandro Canossa, Anders DrachenOxford University Press, 2022, xvi + 416 pages, $105 (hardback)/$55 (paperback) ISBN-10: 019289787X, ISBN-13: 978-0192897879 (hardback), 978–0192897886 (paperback) Game Data ScienceMagy SeifEl̴Nasr，Truong‐Huy D.Nguyen，AlessandroCanossa，AndersDrachenOxford University Press，2022，xvi+416页，$105（硬背）/$55（平装本），ISBN‐10:019289787X，ISBN‐13:978‐0192897879（硬背），978–0192897886（平装本）

IF 2 3区数学

International Statistical Review Pub Date : 2022-07-18 DOI: 10.1111/insr.12514

Shuangzhe Liu

引用次数: 0

Wavelets from a Statistical Perspective Maarten Jansen Chapman and Hall/CRC, 2022, xix + 325 pages, $96 (hardcover) ISBN: 978-1-032-20067-5 (hardcover) Maarten Jansen Chapman and Hall/CRC, 2022, 19 + 325页，96美元(精装)ISBN: 978-1-032-20067-5(精装)

IF 2 3区数学

International Statistical Review Pub Date : 2022-07-18 DOI: 10.1111/insr.12515

Krzysztof Podgórski

引用次数: 0

Are You All Normal? It Depends! 你一切正常吗?视情况而定!

IF 2 3区数学

International Statistical Review Pub Date : 2022-07-07 DOI: 10.1111/insr.12512

Wanfang Chen, Marc G. Genton

{"title":"Are You All Normal? It Depends!","authors":"Wanfang Chen, Marc G. Genton","doi":"10.1111/insr.12512","DOIUrl":"10.1111/insr.12512","url":null,"abstract":"<div>\u0000 \u0000 <p>The assumption of normality has underlain much of the development of statistics, including spatial statistics, and many tests have been proposed. In this work, we focus on the multivariate setting and first review the recent advances in multivariate normality tests for i.i.d. data, with emphasis on the skewness and kurtosis approaches. We show through simulation studies that some of these tests cannot be used directly for testing normality of spatial data. We further review briefly the few existing univariate tests under dependence (time or space), and then propose a new multivariate normality test for spatial data by accounting for the spatial dependence. The new test utilises the union-intersection principle to decompose the null hypothesis into intersections of univariate normality hypotheses for projection data, and it rejects the multivariate normality if any individual hypothesis is rejected. The individual hypotheses for univariate normality are conducted using a Jarque–Bera type test statistic that accounts for the spatial dependence in the data. We also show in simulation studies that the new test has a good control of the type I error and a high empirical power, especially for large sample sizes. We further illustrate our test on bivariate wind data over the Arabian Peninsula.</p>\u0000 </div>","PeriodicalId":14479,"journal":{"name":"International Statistical Review","volume":"91 1","pages":"114-139"},"PeriodicalIF":2.0,"publicationDate":"2022-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48771273","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: 5

Survival Modelling for Data From Combined Cohorts: Opening the Door to Meta Survival Analyses and Survival Analysis Using Electronic Health Records 合并队列数据的生存建模:打开Meta生存分析和使用电子健康记录进行生存分析的大门

IF 2 3区数学

International Statistical Review Pub Date : 2022-06-16 DOI: 10.1111/insr.12510

James H. McVittie, Ana F. Best, David B. Wolfson, David A. Stephens, Julian Wolfson, David L. Buckeridge, Shahinaz M. Gadalla

{"title":"Survival Modelling for Data From Combined Cohorts: Opening the Door to Meta Survival Analyses and Survival Analysis Using Electronic Health Records","authors":"James H. McVittie, Ana F. Best, David B. Wolfson, David A. Stephens, Julian Wolfson, David L. Buckeridge, Shahinaz M. Gadalla","doi":"10.1111/insr.12510","DOIUrl":"10.1111/insr.12510","url":null,"abstract":"<div>\u0000 \u0000 <p>Non-parametric estimation of the survival function using observed failure time data depends on the underlying data generating mechanism, including the ways in which the data may be censored and/or truncated. For data arising from a single source or collected from a single cohort, a wide range of estimators have been proposed and compared in the literature. Often, however, it may be possible, and indeed advantageous, to combine and then analyse survival data that have been collected under different study designs. We review non-parametric survival analysis for data obtained by combining the most common types of cohort. We have two main goals: (i) to clarify the differences in the model assumptions and (ii) to provide a single lens through which some of the proposed estimators may be viewed. Our discussion is relevant to the meta-analysis of survival data obtained from different types of study, and to the modern era of electronic health records.</p>\u0000 </div>","PeriodicalId":14479,"journal":{"name":"International Statistical Review","volume":"91 1","pages":"72-87"},"PeriodicalIF":2.0,"publicationDate":"2022-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/insr.12510","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9490735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0