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Marginalized LASSO in the low-dimensional difference-based partially linear model for variable selection 用于变量选择的基于低维差分的部分线性模型中的边际化 LASSO
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-07-09 DOI: 10.1080/02664763.2024.2372676
M. Norouzirad, R. Moura, M. Arashi, F. J. Marques
{"title":"Marginalized LASSO in the low-dimensional difference-based partially linear model for variable selection","authors":"M. Norouzirad, R. Moura, M. Arashi, F. J. Marques","doi":"10.1080/02664763.2024.2372676","DOIUrl":"https://doi.org/10.1080/02664763.2024.2372676","url":null,"abstract":"The difference-based partially linear model is an appropriate regression model when both linear and nonlinear predictors are present in the data. However, when we want to optimize the weights using...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"23 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141586371","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
Diagnostics for categorical response models based on quantile residuals and distance measures 基于量级残差和距离测量的分类响应模型诊断法
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-07-05 DOI: 10.1080/02664763.2024.2367150
Patrícia Peres Araripe, Idemauro Antonio Rodrigues de Lara, Gabriel Rodrigues Palma, Niamh Cahill, Rafael de Andrade Moral
{"title":"Diagnostics for categorical response models based on quantile residuals and distance measures","authors":"Patrícia Peres Araripe, Idemauro Antonio Rodrigues de Lara, Gabriel Rodrigues Palma, Niamh Cahill, Rafael de Andrade Moral","doi":"10.1080/02664763.2024.2367150","DOIUrl":"https://doi.org/10.1080/02664763.2024.2367150","url":null,"abstract":"Polytomous categorical data are frequent in studies, that can be obtained with an individual or grouped structure. In both structures, the generalized logit model is commonly used to relate the cov...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"56 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141613844","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
Time of week intensity estimation from partly interval censored data with applications to police patrol planning 从部分间隔删减数据中估算每周时间强度，并应用于警察巡逻规划
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-07-03 DOI: 10.1080/02664763.2024.2371901
Jiahao Tian, Michael D. Porter
{"title":"Time of week intensity estimation from partly interval censored data with applications to police patrol planning","authors":"Jiahao Tian, Michael D. Porter","doi":"10.1080/02664763.2024.2371901","DOIUrl":"https://doi.org/10.1080/02664763.2024.2371901","url":null,"abstract":"Law enforcement agencies are tasked with crime prevention and crime reduction under limited resources. Having an accurate temporal estimate of the crime rate would be valuable to achieve such a goa...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"11 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141613885","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
Comparing heart PET scans: an adjustment of Kolmogorov-Smirnov test under spatial autocorrelation 比较心脏正电子发射计算机断层扫描：空间自相关性下的柯尔莫哥洛夫-斯米尔诺夫检验调整
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-07-03 DOI: 10.1080/02664763.2024.2366300
Wenjun Zheng, Hongjian Zhu, K. Lance Gould, Dejian Lai
{"title":"Comparing heart PET scans: an adjustment of Kolmogorov-Smirnov test under spatial autocorrelation","authors":"Wenjun Zheng, Hongjian Zhu, K. Lance Gould, Dejian Lai","doi":"10.1080/02664763.2024.2366300","DOIUrl":"https://doi.org/10.1080/02664763.2024.2366300","url":null,"abstract":"The principle of independence is a fundamental yet often disregarded assumption in statistical inference. It is observed that the implications of correlations, if not considered, can lead to a cons...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"16 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141586372","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
A new EWMA chart for simultaneously monitoring the parameters of a shifted exponential distribution 用于同时监测移位指数分布参数的新 EWMA 图表
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-07-02 DOI: 10.1080/02664763.2024.2363404
Amita Baranwal, Nirpeksh Kumar, Kashinath Chatterjee, Christos Koukouvinos
{"title":"A new EWMA chart for simultaneously monitoring the parameters of a shifted exponential distribution","authors":"Amita Baranwal, Nirpeksh Kumar, Kashinath Chatterjee, Christos Koukouvinos","doi":"10.1080/02664763.2024.2363404","DOIUrl":"https://doi.org/10.1080/02664763.2024.2363404","url":null,"abstract":"In various scenarios where products and services are accompanied by warranties to ensure their reliability over a specified time, the two-parameter (shifted) exponential distribution serves as a fu...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"62 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141548902","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
Network-based topic structure visualization 基于网络的主题结构可视化
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-06-27 DOI: 10.1080/02664763.2024.2369953
Yeseul Jeon, Jina Park, Ick Hoon Jin, Dongjun Chung
{"title":"Network-based topic structure visualization","authors":"Yeseul Jeon, Jina Park, Ick Hoon Jin, Dongjun Chung","doi":"10.1080/02664763.2024.2369953","DOIUrl":"https://doi.org/10.1080/02664763.2024.2369953","url":null,"abstract":"In the real world, many topics are inter-correlated, making it challenging to investigate their structure and relationships. Understanding the interplay between topics and their relevance can provi...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"71 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141782762","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
Identifying waves of COVID-19 mortality using skew normal curves 利用倾斜正态曲线识别 COVID-19 死亡率波形
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-06-18 DOI: 10.1080/02664763.2024.2351467
Kamal Rai, Patrick E. Brown
{"title":"Identifying waves of COVID-19 mortality using skew normal curves","authors":"Kamal Rai, Patrick E. Brown","doi":"10.1080/02664763.2024.2351467","DOIUrl":"https://doi.org/10.1080/02664763.2024.2351467","url":null,"abstract":"We propose a model for multiple waves of an epidemic that decomposes the health outcome of interest into the sum of scaled skew normal curves. When applied to daily COVID-19 mortality in six region...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"28 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141511082","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
Robust convex biclustering with a tuning-free method 采用免调整方法的稳健凸双聚类技术
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-06-17 DOI: 10.1080/02664763.2024.2367143
Yifan Chen, Chunyin Lei, Chuanquan Li, Haiqiang Ma, Ningyuan Hu
{"title":"Robust convex biclustering with a tuning-free method","authors":"Yifan Chen, Chunyin Lei, Chuanquan Li, Haiqiang Ma, Ningyuan Hu","doi":"10.1080/02664763.2024.2367143","DOIUrl":"https://doi.org/10.1080/02664763.2024.2367143","url":null,"abstract":"Biclustering is widely used in different kinds of fields including gene information analysis, text mining, and recommendation system by effectively discovering the local correlation between samples...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"213 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141511083","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
A Bayesian high-dimensional mediation analysis for multilevel genome-wide epigenetic data 针对多层次全基因组表观遗传数据的贝叶斯高维中介分析
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-06-16 DOI: 10.1080/02664763.2024.2367148
Xi Qiao, Duy Ngo, Bilinda Straight, Belinda L. Needham, Charles E. Hilton, Amy Naugle
{"title":"A Bayesian high-dimensional mediation analysis for multilevel genome-wide epigenetic data","authors":"Xi Qiao, Duy Ngo, Bilinda Straight, Belinda L. Needham, Charles E. Hilton, Amy Naugle","doi":"10.1080/02664763.2024.2367148","DOIUrl":"https://doi.org/10.1080/02664763.2024.2367148","url":null,"abstract":"Causal mediation analysis has increasingly become a popular practice in various clinical trials and epidemiological applications to evaluate whether an intermediate variable is on the pathway betwe...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"76 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141511084","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
Outcome-guided Bayesian clustering for disease subtype discovery using high-dimensional transcriptomic data 利用高维转录组数据发现疾病亚型的结果引导贝叶斯聚类法
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-06-07 DOI: 10.1080/02664763.2024.2362275
Lingsong Meng, Zhiguang Huo
{"title":"Outcome-guided Bayesian clustering for disease subtype discovery using high-dimensional transcriptomic data","authors":"Lingsong Meng, Zhiguang Huo","doi":"10.1080/02664763.2024.2362275","DOIUrl":"https://doi.org/10.1080/02664763.2024.2362275","url":null,"abstract":"Due to the tremendous heterogeneity of disease manifestations, many complex diseases that were once thought to be single diseases are now considered to have disease subtypes. Disease subtyping anal...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"2 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141511085","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
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