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Journal of the Royal Statistical Society Series C-Applied Statistics最新文献

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Christian Rohrbeck’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’ Christian Rohrbeck对“气候变化统计方面的第一次讨论会”的讨论的贡献
IF 1.6 4区 数学
Journal of the Royal Statistical Society Series C-Applied Statistics Pub Date : 2023-06-16 DOI: 10.1093/jrsssc/qlad047
C. Rohrbeck
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引用次数: 0
Proposer of the vote of thanks and contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’ 对“气候变化统计方面的第一次讨论会议”的讨论表示感谢和贡献的提案
IF 1.6 4区 数学
Journal of the Royal Statistical Society Series C-Applied Statistics Pub Date : 2023-06-16 DOI: 10.1093/jrsssc/qlad044
A. Raftery
{"title":"Proposer of the vote of thanks and contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’","authors":"A. Raftery","doi":"10.1093/jrsssc/qlad044","DOIUrl":"https://doi.org/10.1093/jrsssc/qlad044","url":null,"abstract":"","PeriodicalId":49981,"journal":{"name":"Journal of the Royal Statistical Society Series C-Applied Statistics","volume":"15 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89650540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Vine copula-based Bayesian classification for multivariate time series of electroencephalography eye states 基于藤的多变量脑电图眼状态时间序列贝叶斯分类
IF 1.6 4区 数学
Journal of the Royal Statistical Society Series C-Applied Statistics Pub Date : 2023-06-16 DOI: 10.1093/jrsssc/qlad038
Chunfang Zhang, C. Czado
{"title":"Vine copula-based Bayesian classification for multivariate time series of electroencephalography eye states","authors":"Chunfang Zhang, C. Czado","doi":"10.1093/jrsssc/qlad038","DOIUrl":"https://doi.org/10.1093/jrsssc/qlad038","url":null,"abstract":"\u0000 Sometimes classification tasks have to be based on multivariate time series data collected for each class. In these situations the data for each class might exhibit non-stationary behaviour together with complex dependence structures. We propose a vine copula-based approach to capture these features in each class before applying a Bayesian classifier. Vine copulas have been very successful in modelling asymmetric tail dependence among variables and are coupled with non-stationary univariate time series to model the multivariate time series data for each class. We illustrate this classification approach using data from a neural activity experiment using electroencephalography, where we want to classify the eye state. The level of neural activity was collected over time for multiple locations on the scalp. Our approach is able to identify relevant locations and allows for a model-based interpretation of the data generating process. A cross-validation study with comparison to competitor classifiers for this data set shows good performance of the proposed classifier.","PeriodicalId":49981,"journal":{"name":"Journal of the Royal Statistical Society Series C-Applied Statistics","volume":"264 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86546868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Juliette Legrand and Thomas Opitz’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’ 朱丽叶·勒格朗和托马斯·奥皮茨对“气候变化统计方面的第一次讨论会议”的贡献
IF 1.6 4区 数学
Journal of the Royal Statistical Society Series C-Applied Statistics Pub Date : 2023-06-16 DOI: 10.1093/jrsssc/qlad054
J. Legrand, T. Opitz
{"title":"Juliette Legrand and Thomas Opitz’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’","authors":"J. Legrand, T. Opitz","doi":"10.1093/jrsssc/qlad054","DOIUrl":"https://doi.org/10.1093/jrsssc/qlad054","url":null,"abstract":"","PeriodicalId":49981,"journal":{"name":"Journal of the Royal Statistical Society Series C-Applied Statistics","volume":"20 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74251481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Miguel de Carvalho, Alina Kumukova and Vianey Palacios Ramirez’s contribution to the Discussion of “The First Discussion Meeting on Statistical aspects of climate change” Miguel de Carvalho, Alina Kumukova和Vianey Palacios Ramirez对“气候变化统计方面的第一次讨论会”的讨论的贡献
IF 1.6 4区 数学
Journal of the Royal Statistical Society Series C-Applied Statistics Pub Date : 2023-06-14 DOI: 10.1093/jrsssc/qlad048
M. de Carvalho, Alina Kumukova, V. Ramírez
{"title":"Miguel de Carvalho, Alina Kumukova and Vianey Palacios Ramirez’s contribution to the Discussion of “The First Discussion Meeting on Statistical aspects of climate change”","authors":"M. de Carvalho, Alina Kumukova, V. Ramírez","doi":"10.1093/jrsssc/qlad048","DOIUrl":"https://doi.org/10.1093/jrsssc/qlad048","url":null,"abstract":"","PeriodicalId":49981,"journal":{"name":"Journal of the Royal Statistical Society Series C-Applied Statistics","volume":"62 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79628886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Valérie Chavez-Demoulin, Anthony C Davison and Erwan Koch’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’ valsamrie Chavez-Demoulin, Anthony C Davison和Erwan Koch对“气候变化统计方面的第一次讨论会议”的讨论的贡献
IF 1.6 4区 数学
Journal of the Royal Statistical Society Series C-Applied Statistics Pub Date : 2023-06-13 DOI: 10.1093/jrsssc/qlad051
V. Chavez-Demoulin, A. Davison, E. Koch
{"title":"Valérie Chavez-Demoulin, Anthony C Davison and Erwan Koch’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’","authors":"V. Chavez-Demoulin, A. Davison, E. Koch","doi":"10.1093/jrsssc/qlad051","DOIUrl":"https://doi.org/10.1093/jrsssc/qlad051","url":null,"abstract":"","PeriodicalId":49981,"journal":{"name":"Journal of the Royal Statistical Society Series C-Applied Statistics","volume":"16 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77482370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Seconder of the vote of thanks and contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’ 对“气候变化统计方面的第一次讨论会议”的讨论表示感谢和贡献
IF 1.6 4区 数学
Journal of the Royal Statistical Society Series C-Applied Statistics Pub Date : 2023-06-13 DOI: 10.1093/jrsssc/qlad045
J. Rougier
{"title":"Seconder of the vote of thanks and contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’","authors":"J. Rougier","doi":"10.1093/jrsssc/qlad045","DOIUrl":"https://doi.org/10.1093/jrsssc/qlad045","url":null,"abstract":"","PeriodicalId":49981,"journal":{"name":"Journal of the Royal Statistical Society Series C-Applied Statistics","volume":"45 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73769924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Saralees Nadarajah’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’ Saralees Nadarajah对“气候变化统计方面的第一次讨论会议”讨论的贡献
IF 1.6 4区 数学
Journal of the Royal Statistical Society Series C-Applied Statistics Pub Date : 2023-06-13 DOI: 10.1093/jrsssc/qlad053
S. Nadarajah
{"title":"Saralees Nadarajah’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’","authors":"S. Nadarajah","doi":"10.1093/jrsssc/qlad053","DOIUrl":"https://doi.org/10.1093/jrsssc/qlad053","url":null,"abstract":"","PeriodicalId":49981,"journal":{"name":"Journal of the Royal Statistical Society Series C-Applied Statistics","volume":"143 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86182736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Association Plots: visualizing cluster-specific associations in high-dimensional correspondence analysis biplots 关联图:在高维对应分析双图中可视化特定集群的关联
IF 1.6 4区 数学
Journal of the Royal Statistical Society Series C-Applied Statistics Pub Date : 2023-06-08 DOI: 10.1093/jrsssc/qlad039
E. Gralinska, Martin Vingron
{"title":"Association Plots: visualizing cluster-specific associations in high-dimensional correspondence analysis biplots","authors":"E. Gralinska, Martin Vingron","doi":"10.1093/jrsssc/qlad039","DOIUrl":"https://doi.org/10.1093/jrsssc/qlad039","url":null,"abstract":"\u0000 In molecular biology, just as in many other fields of science, data often come in the form of matrices or contingency tables with many observations (rows) for a set of variables (columns). While projection methods like principal component analysis or correspondence analysis (CA) can be applied for obtaining an overview of such data, in cases where the matrix is very large the associated loss of information upon projection into two or three dimensions may be dramatic. However, when the set of variables can be grouped into clusters, this opens up a new angle on the data. We focus on the question of which observations are associated to a cluster and distinguish it from other clusters. CA employs a geometry geared towards answering this question. We exploit this feature in order to introduce Association Plots for visualizing cluster-specific observations in complex data. Regardless of the data matrix dimensionality Association Plots are two-dimensional and depict the observations associated to a cluster of variables. We demonstrate our method on two small data sets and then use it to study a challenging genomic data set comprising >10,000 samples. We show that Association Plots can clearly highlight those observations which characterise a cluster of variables.","PeriodicalId":49981,"journal":{"name":"Journal of the Royal Statistical Society Series C-Applied Statistics","volume":"71 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91226610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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: 1
Longitudinal Canonical Correlation Analysis. 纵向典型相关分析。
IF 1.6 4区 数学
Journal of the Royal Statistical Society Series C-Applied Statistics Pub Date : 2023-06-01 DOI: 10.1093/jrsssc/qlad022
Seonjoo Lee, Jongwoo Choi, Zhiqian Fang, F DuBois Bowman
{"title":"Longitudinal Canonical Correlation Analysis.","authors":"Seonjoo Lee,&nbsp;Jongwoo Choi,&nbsp;Zhiqian Fang,&nbsp;F DuBois Bowman","doi":"10.1093/jrsssc/qlad022","DOIUrl":"https://doi.org/10.1093/jrsssc/qlad022","url":null,"abstract":"<p><p>This paper considers canonical correlation analysis for two longitudinal variables that are possibly sampled at different time resolutions with irregular grids. We modeled trajectories of the multivariate variables using random effects and found the most correlated sets of linear combinations in the latent space. Our numerical simulations showed that the longitudinal canonical correlation analysis (LCCA) effectively recovers underlying correlation patterns between two high-dimensional longitudinal data sets. We applied the proposed LCCA to data from the Alzheimer's Disease Neuroimaging Initiative and identified the longitudinal profiles of morphological brain changes and amyloid cumulation.</p>","PeriodicalId":49981,"journal":{"name":"Journal of the Royal Statistical Society Series C-Applied Statistics","volume":"72 3","pages":"587-607"},"PeriodicalIF":1.6,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10332816/pdf/nihms-1893974.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9813380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
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