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Alleviating conditional independence assumption of naive Bayes 缓解朴素贝叶斯的条件独立假设
3区 数学
Statistical Papers Pub Date : 2023-11-14 DOI: 10.1007/s00362-023-01474-5
Xu-Qing Liu, Xiao-Cai Wang, Li Tao, Feng-Xian An, Gui-Ren Jiang
{"title":"Alleviating conditional independence assumption of naive Bayes","authors":"Xu-Qing Liu, Xiao-Cai Wang, Li Tao, Feng-Xian An, Gui-Ren Jiang","doi":"10.1007/s00362-023-01474-5","DOIUrl":"https://doi.org/10.1007/s00362-023-01474-5","url":null,"abstract":"","PeriodicalId":51166,"journal":{"name":"Statistical Papers","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134954188","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: 0
A p-step-ahead sequential adaptive algorithm for D-optimal nonlinear regression design d -最优非线性回归设计的p步超前序贯自适应算法
3区 数学
Statistical Papers Pub Date : 2023-11-10 DOI: 10.1007/s00362-023-01502-4
Fritjof Freise, Norbert Gaffke, Rainer Schwabe
{"title":"A p-step-ahead sequential adaptive algorithm for D-optimal nonlinear regression design","authors":"Fritjof Freise, Norbert Gaffke, Rainer Schwabe","doi":"10.1007/s00362-023-01502-4","DOIUrl":"https://doi.org/10.1007/s00362-023-01502-4","url":null,"abstract":"","PeriodicalId":51166,"journal":{"name":"Statistical Papers","volume":"98 31","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135091874","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: 1
Two-piece distribution based semi-parametric quantile regression for right censored data 基于两片分布的右截尾数据半参数分位数回归
3区 数学
Statistical Papers Pub Date : 2023-11-10 DOI: 10.1007/s00362-023-01475-4
Worku Biyadgie Ewnetu, Irène Gijbels, Anneleen Verhasselt
{"title":"Two-piece distribution based semi-parametric quantile regression for right censored data","authors":"Worku Biyadgie Ewnetu, Irène Gijbels, Anneleen Verhasselt","doi":"10.1007/s00362-023-01475-4","DOIUrl":"https://doi.org/10.1007/s00362-023-01475-4","url":null,"abstract":"","PeriodicalId":51166,"journal":{"name":"Statistical Papers","volume":"122 44","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135138334","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: 0
Penalized likelihood inference for the finite mixture of Poisson distributions from capture-recapture data 捕获-再捕获数据泊松分布有限混合的惩罚似然推断
3区 数学
Statistical Papers Pub Date : 2023-11-03 DOI: 10.1007/s00362-023-01503-3
Yang Liu, Rong Kuang, Guanfu Liu
{"title":"Penalized likelihood inference for the finite mixture of Poisson distributions from capture-recapture data","authors":"Yang Liu, Rong Kuang, Guanfu Liu","doi":"10.1007/s00362-023-01503-3","DOIUrl":"https://doi.org/10.1007/s00362-023-01503-3","url":null,"abstract":"","PeriodicalId":51166,"journal":{"name":"Statistical Papers","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135818669","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: 0
FDR control and power analysis for high-dimensional logistic regression via StabKoff 基于StabKoff的高维逻辑回归的FDR控制和功率分析
3区 数学
Statistical Papers Pub Date : 2023-10-18 DOI: 10.1007/s00362-023-01501-5
Panxu Yuan, Yinfei Kong, Gaorong Li
{"title":"FDR control and power analysis for high-dimensional logistic regression via StabKoff","authors":"Panxu Yuan, Yinfei Kong, Gaorong Li","doi":"10.1007/s00362-023-01501-5","DOIUrl":"https://doi.org/10.1007/s00362-023-01501-5","url":null,"abstract":"","PeriodicalId":51166,"journal":{"name":"Statistical Papers","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135883996","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: 1
A weighted average limited information maximum likelihood estimator 加权平均有限信息极大似然估计
3区 数学
Statistical Papers Pub Date : 2023-10-07 DOI: 10.1007/s00362-023-01485-2
Muhammad Qasim
{"title":"A weighted average limited information maximum likelihood estimator","authors":"Muhammad Qasim","doi":"10.1007/s00362-023-01485-2","DOIUrl":"https://doi.org/10.1007/s00362-023-01485-2","url":null,"abstract":"Abstract In this article, a Stein-type weighted limited information maximum likelihood (LIML) estimator is proposed. It is based on a weighted average of the ordinary least squares (OLS) and LIML estimators, with weights inversely proportional to the Hausman test statistic. The asymptotic distribution of the proposed estimator is derived by means of local-to-exogenous asymptotic theory. In addition, the asymptotic risk of the Stein-type LIML estimator is calculated, and it is shown that the risk is strictly smaller than the risk of the LIML under certain conditions. A Monte Carlo simulation and an empirical application of a green patent dataset from Nordic countries are used to demonstrate the superiority of the Stein-type LIML estimator to the OLS, two-stage least squares, LIML and combined estimators when the number of instruments is large.","PeriodicalId":51166,"journal":{"name":"Statistical Papers","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135254336","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: 0
Space-filling designs with a Dirichlet distribution for mixture experiments 混合试验中Dirichlet分布的空间填充设计
3区 数学
Statistical Papers Pub Date : 2023-10-07 DOI: 10.1007/s00362-023-01493-2
Astrid Jourdan
{"title":"Space-filling designs with a Dirichlet distribution for mixture experiments","authors":"Astrid Jourdan","doi":"10.1007/s00362-023-01493-2","DOIUrl":"https://doi.org/10.1007/s00362-023-01493-2","url":null,"abstract":"Uniform designs are widely used for experiments with mixtures. The uniformity of the design points is usually evaluated with a discrepancy criterion. In this paper, we propose a new criterion to measure the deviation between the design point distribution and a Dirichlet distribution. The support of the Dirichlet distribution, is defined by the set of d-dimensional vectors whose entries are real numbers in the interval [0,1] such that the sum of the coordinates is equal to 1. This support is suitable for mixture experiments. Depending on its parameters, the Dirichlet distribution allows symmetric or asymmetric, uniform or more concentrated point distribution. The difference between the empirical and the target distributions is evaluated with the Kullback–Leibler divergence. We use two methods to estimate the divergence: the plug-in estimate and the nearest-neighbor estimate. The resulting two criteria are used to build space-filling designs for mixture experiments. In the particular case of the flat Dirichlet distribution, both criteria lead to uniform designs. They are compared to existing uniformity criteria. The advantage of the new criteria is that they allow other distributions than uniformity and they are fast to compute.","PeriodicalId":51166,"journal":{"name":"Statistical Papers","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135252055","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: 0
On the test of covariance between two high-dimensional random vectors 关于两个高维随机向量间协方差的检验
3区 数学
Statistical Papers Pub Date : 2023-10-07 DOI: 10.1007/s00362-023-01500-6
Yongshuai Chen, Wenwen Guo, Hengjian Cui
{"title":"On the test of covariance between two high-dimensional random vectors","authors":"Yongshuai Chen, Wenwen Guo, Hengjian Cui","doi":"10.1007/s00362-023-01500-6","DOIUrl":"https://doi.org/10.1007/s00362-023-01500-6","url":null,"abstract":"","PeriodicalId":51166,"journal":{"name":"Statistical Papers","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135254337","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: 0
Professor Heinz Neudecker and matrix differential calculus Heinz Neudecker教授和矩阵微分学
3区 数学
Statistical Papers Pub Date : 2023-10-03 DOI: 10.1007/s00362-023-01499-w
Shuangzhe Liu, Götz Trenkler, Tõnu Kollo, Dietrich von Rosen, Oskar Maria Baksalary
{"title":"Professor Heinz Neudecker and matrix differential calculus","authors":"Shuangzhe Liu, Götz Trenkler, Tõnu Kollo, Dietrich von Rosen, Oskar Maria Baksalary","doi":"10.1007/s00362-023-01499-w","DOIUrl":"https://doi.org/10.1007/s00362-023-01499-w","url":null,"abstract":"","PeriodicalId":51166,"journal":{"name":"Statistical Papers","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135696549","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: 0
Maximum Likelihood With a Time Varying Parameter 具有时变参数的最大似然
3区 数学
Statistical Papers Pub Date : 2023-09-29 DOI: 10.1007/s00362-023-01497-y
Alberto Lanconelli, Christopher S. A. Lauria
{"title":"Maximum Likelihood With a Time Varying Parameter","authors":"Alberto Lanconelli, Christopher S. A. Lauria","doi":"10.1007/s00362-023-01497-y","DOIUrl":"https://doi.org/10.1007/s00362-023-01497-y","url":null,"abstract":"Abstract We consider the problem of tracking an unknown time varying parameter that characterizes the probabilistic evolution of a sequence of independent observations. To this aim, we propose a stochastic gradient descent-based recursive scheme in which the log-likelihood of the observations acts as time varying gain function. We prove convergence in mean-square error in a suitable neighbourhood of the unknown time varying parameter and illustrate the details of our findings in the case where data are generated from distributions belonging to the exponential family.","PeriodicalId":51166,"journal":{"name":"Statistical Papers","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135244210","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: 0
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