Pub Date : 2024-02-12DOI: 10.1080/10485252.2024.2313706
Daniel Marton, Amichai Painsky
Simultaneous confidence intervals (SCI) for multinomial proportions are a corner stone in count data analysis and a key component in many applications. A variety of schemes were introduced over the...
{"title":"Good-bootstrap: simultaneous confidence intervals for large alphabet distributions","authors":"Daniel Marton, Amichai Painsky","doi":"10.1080/10485252.2024.2313706","DOIUrl":"https://doi.org/10.1080/10485252.2024.2313706","url":null,"abstract":"Simultaneous confidence intervals (SCI) for multinomial proportions are a corner stone in count data analysis and a key component in many applications. A variety of schemes were introduced over the...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"22 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139772953","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}
Pub Date : 2024-02-05DOI: 10.1080/10485252.2024.2312396
Salim Bouzebda, Amor Keziou
In the present paper, we are mainly concerned with the statistical inference for the functional of nonparametric copula models satisfying linear constraints. The asymptotic properties of the obtain...
本文主要关注满足线性约束的非参数 copula 模型函数的统计推断。得到的函数的渐近性质...
{"title":"Empirical likelihood based confidence regions for functional of copulas","authors":"Salim Bouzebda, Amor Keziou","doi":"10.1080/10485252.2024.2312396","DOIUrl":"https://doi.org/10.1080/10485252.2024.2312396","url":null,"abstract":"In the present paper, we are mainly concerned with the statistical inference for the functional of nonparametric copula models satisfying linear constraints. The asymptotic properties of the obtain...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"12 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139761605","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}
Pub Date : 2024-02-01DOI: 10.1080/10485252.2024.2309978
Jyotishka Datta, Sayantan Banerjee, David B. Dunson
In a variety of application areas, there is interest in assessing evidence of differences in the intensity of event realizations between groups. For example, in cancer genomic studies collecting da...
{"title":"Nonparametric Bayes multiresolution testing for high-dimensional rare events","authors":"Jyotishka Datta, Sayantan Banerjee, David B. Dunson","doi":"10.1080/10485252.2024.2309978","DOIUrl":"https://doi.org/10.1080/10485252.2024.2309978","url":null,"abstract":"In a variety of application areas, there is interest in assessing evidence of differences in the intensity of event realizations between groups. For example, in cancer genomic studies collecting da...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"112 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139761565","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}
Pub Date : 2024-01-25DOI: 10.1080/10485252.2024.2304115
Mengqi Xie, Jie Zhou, Lei Liu
We propose a double exponential gamma-frailty model for clustered survival data. This model addresses the limitation of shared gamma-frailty models, where the marginal effects of covariates diminis...
{"title":"A double exponential gamma-frailty model for clustered survival data","authors":"Mengqi Xie, Jie Zhou, Lei Liu","doi":"10.1080/10485252.2024.2304115","DOIUrl":"https://doi.org/10.1080/10485252.2024.2304115","url":null,"abstract":"We propose a double exponential gamma-frailty model for clustered survival data. This model addresses the limitation of shared gamma-frailty models, where the marginal effects of covariates diminis...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"12 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139581171","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}
Pub Date : 2024-01-25DOI: 10.1080/10485252.2024.2307393
Shanchao Yang, Lanjiao Qin, Y. Wang, X. Yang
High-frequency data is widely used and studied in many fields. In this paper, the asymptotic normality of kernel density estimator under ρ-mixing high-frequency data is studied. We first derive som...
{"title":"Asymptotic normality of kernel density estimation for mixing high-frequency data","authors":"Shanchao Yang, Lanjiao Qin, Y. Wang, X. Yang","doi":"10.1080/10485252.2024.2307393","DOIUrl":"https://doi.org/10.1080/10485252.2024.2307393","url":null,"abstract":"High-frequency data is widely used and studied in many fields. In this paper, the asymptotic normality of kernel density estimator under ρ-mixing high-frequency data is studied. We first derive som...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"23 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139556771","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}
Pub Date : 2024-01-22DOI: 10.1080/10485252.2024.2305811
Hyoin An, Steven N. MacEachern
Despite the practicality of quantile regression (QR), simultaneous estimation of multiple QR curves continues to be challenging. We address this problem by proposing a Bayesian nonparametric framew...
尽管量子回归（QR）非常实用，但同时估计多条 QR 曲线仍然具有挑战性。为了解决这个问题，我们提出了一种贝叶斯非参数框架。
{"title":"A process of dependent quantile pyramids","authors":"Hyoin An, Steven N. MacEachern","doi":"10.1080/10485252.2024.2305811","DOIUrl":"https://doi.org/10.1080/10485252.2024.2305811","url":null,"abstract":"Despite the practicality of quantile regression (QR), simultaneous estimation of multiple QR curves continues to be challenging. We address this problem by proposing a Bayesian nonparametric framew...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139556767","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}
Pub Date : 2024-01-17DOI: 10.1080/10485252.2024.2303418
Y. P. Chaubey, K. Ghoudi, N. Laïb
This paper introduces generalised smooth asymmetric kernel estimators for smooth functionals with non-negative support. More precisely, for x∈[0,∞), and for a functional, Φ(x,F) of the distribution...
{"title":"Generalised local polynomial estimators of smooth functionals of a distribution function with nonnegative support","authors":"Y. P. Chaubey, K. Ghoudi, N. Laïb","doi":"10.1080/10485252.2024.2303418","DOIUrl":"https://doi.org/10.1080/10485252.2024.2303418","url":null,"abstract":"This paper introduces generalised smooth asymmetric kernel estimators for smooth functionals with non-negative support. More precisely, for x∈[0,∞), and for a functional, Φ(x,F) of the distribution...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"9 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139516351","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}
Pub Date : 2024-01-12DOI: 10.1080/10485252.2024.2303103
Tingting Cai, Tao Hu
In the analysis of survival data, it is crucial to consider individual heterogeneities related to therapy, gender, and genetics as they can impact the validity of conclusions. The heterogeneous par...
{"title":"Subgroup detection in the heterogeneous partially linear additive Cox model","authors":"Tingting Cai, Tao Hu","doi":"10.1080/10485252.2024.2303103","DOIUrl":"https://doi.org/10.1080/10485252.2024.2303103","url":null,"abstract":"In the analysis of survival data, it is crucial to consider individual heterogeneities related to therapy, gender, and genetics as they can impact the validity of conclusions. The heterogeneous par...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"103 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139501065","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}
Pub Date : 2024-01-03DOI: 10.1080/10485252.2023.2294885
Salil Koner, So Young Park, Ana-Maria Staicu
In many modern applications, a dependent functional response is observed for each subject over repeated time, leading to longitudinal functional data. In this paper, we propose a novel statistical ...
{"title":"PROFIT: projection-based test in longitudinal functional data","authors":"Salil Koner, So Young Park, Ana-Maria Staicu","doi":"10.1080/10485252.2023.2294885","DOIUrl":"https://doi.org/10.1080/10485252.2023.2294885","url":null,"abstract":"In many modern applications, a dependent functional response is observed for each subject over repeated time, leading to longitudinal functional data. In this paper, we propose a novel statistical ...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"35 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139082666","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}
Pub Date : 2023-12-28DOI: 10.1080/10485252.2023.2296521
Xiangyu Shi, Yuanyuan Jiang, Jiang Du, Zhuqing Miao
We consider testing the mutual independency for high-dimensional data. It is known that L2-type statistics have lower power under sparse alternatives and L∞-type statistics have lower power under d...
{"title":"An adaptive test based on Kendall's tau for independence in high dimensions","authors":"Xiangyu Shi, Yuanyuan Jiang, Jiang Du, Zhuqing Miao","doi":"10.1080/10485252.2023.2296521","DOIUrl":"https://doi.org/10.1080/10485252.2023.2296521","url":null,"abstract":"We consider testing the mutual independency for high-dimensional data. It is known that L2-type statistics have lower power under sparse alternatives and L∞-type statistics have lower power under d...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"22 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139068151","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}
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