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Data-driven Pathwise Sampling Approaches for Online Anomaly Detection 在线异常检测的数据驱动路径采样方法
IF 2.5 3区 工程技术
Technometrics Pub Date : 2024-04-18 DOI: 10.1080/00401706.2024.2342314
Dongmin Li, Miao Bai, Xiaochen Xian
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引用次数: 0
Detection of Emergent Anomalous Structure in Functional Data 检测功能数据中的新兴异常结构
IF 2.5 3区 工程技术
Technometrics Pub Date : 2024-04-16 DOI: 10.1080/00401706.2024.2342315
Edward Austin, Idris A. Eckley, Lawrence Bardwell
{"title":"Detection of Emergent Anomalous Structure in Functional Data","authors":"Edward Austin, Idris A. Eckley, Lawrence Bardwell","doi":"10.1080/00401706.2024.2342315","DOIUrl":"https://doi.org/10.1080/00401706.2024.2342315","url":null,"abstract":"Motivated by an example arising from digital networks, we propose a novel approach for detecting the emergence of anomalies in functional data. In contrast to classical functional data approaches, ...","PeriodicalId":22208,"journal":{"name":"Technometrics","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140615577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Building Trees for Probabilistic Prediction via Scoring Rules 通过评分规则构建概率预测树
IF 2.5 3区 工程技术
Technometrics Pub Date : 2024-04-15 DOI: 10.1080/00401706.2024.2343062
Sara Shashaani, Özge Sürer, Matthew Plumlee, Seth Guikema
{"title":"Building Trees for Probabilistic Prediction via Scoring Rules","authors":"Sara Shashaani, Özge Sürer, Matthew Plumlee, Seth Guikema","doi":"10.1080/00401706.2024.2343062","DOIUrl":"https://doi.org/10.1080/00401706.2024.2343062","url":null,"abstract":"Decision trees built with data remain in widespread use for nonparametric prediction. Predicting probability distributions is preferred over point predictions when uncertainty plays a prominent rol...","PeriodicalId":22208,"journal":{"name":"Technometrics","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140583781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Constrained Bayesian Optimization with Lower Confidence Bound 带置信度下限的约束贝叶斯优化法
IF 2.5 3区 工程技术
Technometrics Pub Date : 2024-03-28 DOI: 10.1080/00401706.2024.2336535
Neelesh S Upadhye, Raju Chowdhury
{"title":"Constrained Bayesian Optimization with Lower Confidence Bound","authors":"Neelesh S Upadhye, Raju Chowdhury","doi":"10.1080/00401706.2024.2336535","DOIUrl":"https://doi.org/10.1080/00401706.2024.2336535","url":null,"abstract":"In this article, we present a hybrid Bayesian optimization (BO) framework to solve constrained optimization problems by adopting a state-of-the-art acquisition function from the unconstrained BO li...","PeriodicalId":22208,"journal":{"name":"Technometrics","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140323846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Kernel-based Sensitivity Analysis for (excursion) sets 基于内核的（偏移）集敏感性分析
IF 2.5 3区 工程技术
Technometrics Pub Date : 2024-03-28 DOI: 10.1080/00401706.2024.2336537
N. Fellmann, C. Blanchet-Scalliet, C. Helbert, A. Spagnol, D. Sinoquet
{"title":"Kernel-based Sensitivity Analysis for (excursion) sets","authors":"N. Fellmann, C. Blanchet-Scalliet, C. Helbert, A. Spagnol, D. Sinoquet","doi":"10.1080/00401706.2024.2336537","DOIUrl":"https://doi.org/10.1080/00401706.2024.2336537","url":null,"abstract":"In this paper, we aim to perform sensitivity analysis of set-valued models and, in particular, to quantify the impact of uncertain inputs on feasible sets, which are key elements in solving a robus...","PeriodicalId":22208,"journal":{"name":"Technometrics","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140584465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Federated Multiple Tensor-on-Tensor Regression (FedMTOT) for Multimodal Data under Data-Sharing Constraints 数据共享约束条件下针对多模态数据的联合多重张量对张量回归（FedMTOT）
IF 2.5 3区 工程技术
Technometrics Pub Date : 2024-03-26 DOI: 10.1080/00401706.2024.2333506
Zihan Zhang, Shancong Mou, Mostafa Reisi Gahrooei, Massimo Pacella, Jianjun Shi
{"title":"Federated Multiple Tensor-on-Tensor Regression (FedMTOT) for Multimodal Data under Data-Sharing Constraints","authors":"Zihan Zhang, Shancong Mou, Mostafa Reisi Gahrooei, Massimo Pacella, Jianjun Shi","doi":"10.1080/00401706.2024.2333506","DOIUrl":"https://doi.org/10.1080/00401706.2024.2333506","url":null,"abstract":"In recent years, diversified measurements reflect the system dynamics from a more comprehensive perspective in system modeling and analysis, such as scalars, waveform signals, images, and structure...","PeriodicalId":22208,"journal":{"name":"Technometrics","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140314822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice 从工业 2.0 到工业 4.0 的统计过程监控：研究与实践启示
IF 2.5 3区 工程技术
Technometrics Pub Date : 2024-03-13 DOI: 10.1080/00401706.2024.2327341
Bianca M. Colosimo, L. Allison Jones-Farmer, Fadel M. Megahed, Kamran Paynabar, Chitta Ranjan, William H. Woodall
{"title":"Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice","authors":"Bianca M. Colosimo, L. Allison Jones-Farmer, Fadel M. Megahed, Kamran Paynabar, Chitta Ranjan, William H. Woodall","doi":"10.1080/00401706.2024.2327341","DOIUrl":"https://doi.org/10.1080/00401706.2024.2327341","url":null,"abstract":"Industry 4.0 has emerged as an important era for process monitoring and improvement. Our expository paper provides a historical perspective on research and practice of statistical process monitorin...","PeriodicalId":22208,"journal":{"name":"Technometrics","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140170191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Robust Multivariate Functional Control Chart 稳健多变量功能控制图
IF 2.5 3区 工程技术
Technometrics Pub Date : 2024-03-07 DOI: 10.1080/00401706.2024.2327346
Christian Capezza, Fabio Centofanti, Antonio Lepore, Biagio Palumbo
{"title":"Robust Multivariate Functional Control Chart","authors":"Christian Capezza, Fabio Centofanti, Antonio Lepore, Biagio Palumbo","doi":"10.1080/00401706.2024.2327346","DOIUrl":"https://doi.org/10.1080/00401706.2024.2327346","url":null,"abstract":"In modern Industry 4.0 applications, a huge amount of data is acquired during manufacturing processes and is often contaminated with outliers, which can seriously reduce the performance of control ...","PeriodicalId":22208,"journal":{"name":"Technometrics","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140074175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Covariate-Dependent Clustering of Undirected Networks with Brain-Imaging Data 利用脑成像数据对无定向网络进行随变量聚类
IF 2.5 3区 工程技术
Technometrics Pub Date : 2024-03-04 DOI: 10.1080/00401706.2024.2321930
Sharmistha Guha, Rajarshi Guhaniyogi
{"title":"Covariate-Dependent Clustering of Undirected Networks with Brain-Imaging Data","authors":"Sharmistha Guha, Rajarshi Guhaniyogi","doi":"10.1080/00401706.2024.2321930","DOIUrl":"https://doi.org/10.1080/00401706.2024.2321930","url":null,"abstract":"This article focuses on model-based clustering of subjects based on the shared relationships of subject-specific networks and covariates in scenarios when there are differences in the relationship ...","PeriodicalId":22208,"journal":{"name":"Technometrics","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140034715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Gaussian Process Emulation for High-Dimensional Coupled Systems 高维耦合系统的高斯过程仿真
IF 2.5 3区 工程技术
Technometrics Pub Date : 2024-03-04 DOI: 10.1080/00401706.2024.2322651
Tamara Dolski, Elaine T. Spiller, Susan E. Minkoff
{"title":"Gaussian Process Emulation for High-Dimensional Coupled Systems","authors":"Tamara Dolski, Elaine T. Spiller, Susan E. Minkoff","doi":"10.1080/00401706.2024.2322651","DOIUrl":"https://doi.org/10.1080/00401706.2024.2322651","url":null,"abstract":"Complex coupled multiphysics simulations are ubiquitous in science and engineering. Evaluating these numerical simulators is often costly which limits our ability to run them sufficiently often for...","PeriodicalId":22208,"journal":{"name":"Technometrics","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140034943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","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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