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}
Pub Date : 2023-12-26DOI: 10.1080/10485252.2023.2296523
Rida Benhaddou, Qing Liu
{"title":"Wavelet estimation for the nonparametric additive model in random design and long-memory dependent errors","authors":"Rida Benhaddou, Qing Liu","doi":"10.1080/10485252.2023.2296523","DOIUrl":"https://doi.org/10.1080/10485252.2023.2296523","url":null,"abstract":"","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"5 12","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139156464","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 : 2023-12-14DOI: 10.1080/10485252.2023.2292690
Weixuan Zhu, Tiantian Zuo, Chunlin Wang
Approximate Bayesian computation (ABC) is a likelihood-free inference method commonly employed for statistical inference in models with unknown or complex likelihood functions. ABC estimates the po...
{"title":"Approximate Bayesian computation with semiparametric density ratio model","authors":"Weixuan Zhu, Tiantian Zuo, Chunlin Wang","doi":"10.1080/10485252.2023.2292690","DOIUrl":"https://doi.org/10.1080/10485252.2023.2292690","url":null,"abstract":"Approximate Bayesian computation (ABC) is a likelihood-free inference method commonly employed for statistical inference in models with unknown or complex likelihood functions. ABC estimates the po...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"184 1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138685543","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 : 2023-12-11DOI: 10.1080/10485252.2023.2291430
Benedikt Funke, Masayuki Hirukawa
This paper studies the problem of estimating the first-order derivative of an unknown density with support on R+ or [0,1]. Nonparametric density derivative estimators smoothed by the asymmetric, ga...
研究了在R+或[0,1]支持下未知密度一阶导数的估计问题。非参数密度导数估计被非对称、ga…
{"title":"Density derivative estimation using asymmetric kernels","authors":"Benedikt Funke, Masayuki Hirukawa","doi":"10.1080/10485252.2023.2291430","DOIUrl":"https://doi.org/10.1080/10485252.2023.2291430","url":null,"abstract":"This paper studies the problem of estimating the first-order derivative of an unknown density with support on R+ or [0,1]. Nonparametric density derivative estimators smoothed by the asymmetric, ga...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"24 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138632524","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 : 2023-12-11DOI: 10.1080/10485252.2023.2292684
Li Cai, Yao Yao, Suojin Wang
A weighted local linear estimator for the mean function is constructed based on nonparametrically estimated selection probabilities when covariates are missing at random. The weighted estimator is ...
{"title":"Oracle-efficient estimation for the mean function of missing covariate data based on noparametrically estimated selection probabilities","authors":"Li Cai, Yao Yao, Suojin Wang","doi":"10.1080/10485252.2023.2292684","DOIUrl":"https://doi.org/10.1080/10485252.2023.2292684","url":null,"abstract":"A weighted local linear estimator for the mean function is constructed based on nonparametrically estimated selection probabilities when covariates are missing at random. The weighted estimator is ...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"101 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138631446","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 : 2023-12-05DOI: 10.1080/10485252.2023.2288842
B. L. S. Prakasa Rao
We investigate the asymptotic properties of a kernel-type nonparametric estimator of the linear multiplier in models governed by a stochastic differential equation driven by a general Gaussian process.
研究了由一般高斯过程驱动的随机微分方程控制的模型中线性乘子的核型非参数估计的渐近性质。
{"title":"Nonparametric estimation of linear multiplier in SDEs driven by general Gaussian processes","authors":"B. L. S. Prakasa Rao","doi":"10.1080/10485252.2023.2288842","DOIUrl":"https://doi.org/10.1080/10485252.2023.2288842","url":null,"abstract":"We investigate the asymptotic properties of a kernel-type nonparametric estimator of the linear multiplier in models governed by a stochastic differential equation driven by a general Gaussian process.","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138542731","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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