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Scalable Methods for Multiple Time Series Comparison in Second Order Dynamics 二阶动力学中多时间序列比较的可扩展方法
IF 2.5 3区 工程技术
Technometrics Pub Date : 2024-08-05 DOI: 10.1080/00401706.2024.2388547
Lei Jin, Bo Li
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引用次数: 0
Linear Source Apportionment using Generalized Least Squares 利用广义最小二乘法进行线性源分配
IF 2.3 3区 工程技术
Technometrics Pub Date : 2024-07-15 DOI: 10.1080/00401706.2024.2379850
Jordan G. Bryan, Peter D. Hoff, Christopher L. Osburn
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引用次数: 0
Active Learning for a Recursive Non-Additive Emulator for Multi-Fidelity Computer Experiments 主动学习用于多保真计算机实验的递归非累加仿真器
IF 2.5 3区 工程技术
Technometrics Pub Date : 2024-07-08 DOI: 10.1080/00401706.2024.2376173
Junoh Heo, Chih-Li Sung
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引用次数: 0
Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples 主动采样：一种机器学习辅助框架，用于利用最优子样本进行有限总体推断
IF 2.5 3区 工程技术
Technometrics Pub Date : 2024-07-02 DOI: 10.1080/00401706.2024.2374554
Henrik Imberg, Xiaomi Yang, Carol Flannagan, Jonas Bärgman
{"title":"Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples","authors":"Henrik Imberg, Xiaomi Yang, Carol Flannagan, Jonas Bärgman","doi":"10.1080/00401706.2024.2374554","DOIUrl":"https://doi.org/10.1080/00401706.2024.2374554","url":null,"abstract":"Data subsampling has become widely recognized as a tool to overcome computational and economic bottlenecks in analyzing massive datasets. We contribute to the development of adaptive design for est...","PeriodicalId":22208,"journal":{"name":"Technometrics","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141552268","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
Multi-agent Collaborative Bayesian Optimization via Constrained Gaussian Processes 通过受限高斯过程进行多代理协作贝叶斯优化
IF 2.5 3区 工程技术
Technometrics Pub Date : 2024-06-11 DOI: 10.1080/00401706.2024.2365732
Qiyuan Chen, Liangkui Jiang, H. Qin, R. Kontar
{"title":"Multi-agent Collaborative Bayesian Optimization via Constrained Gaussian Processes","authors":"Qiyuan Chen, Liangkui Jiang, H. Qin, R. Kontar","doi":"10.1080/00401706.2024.2365732","DOIUrl":"https://doi.org/10.1080/00401706.2024.2365732","url":null,"abstract":"","PeriodicalId":22208,"journal":{"name":"Technometrics","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141357130","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
Convolutional Non-Homogeneous Poisson Process and its Application to Wildfire Ignition Risk Quantification for Power Delivery Networks 卷积非均质泊松过程及其在输电网络野火引燃风险量化中的应用
IF 2.5 3区 工程技术
Technometrics Pub Date : 2024-06-11 DOI: 10.1080/00401706.2024.2365729
Guan Wei, Feng Qiu, Xiao Liu
{"title":"Convolutional Non-Homogeneous Poisson Process and its Application to Wildfire Ignition Risk Quantification for Power Delivery Networks","authors":"Guan Wei, Feng Qiu, Xiao Liu","doi":"10.1080/00401706.2024.2365729","DOIUrl":"https://doi.org/10.1080/00401706.2024.2365729","url":null,"abstract":"","PeriodicalId":22208,"journal":{"name":"Technometrics","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141358997","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
Drift vs Shift: Decoupling Trends and Changepoint Analysis 漂移与转移：脱钩趋势和变化点分析
IF 2.5 3区 工程技术
Technometrics Pub Date : 2024-06-11 DOI: 10.1080/00401706.2024.2365730
Haoxuan Wu, Toryn L. J. Schafer, Sean Ryan, David S. Matteson
{"title":"Drift vs Shift: Decoupling Trends and Changepoint Analysis","authors":"Haoxuan Wu, Toryn L. J. Schafer, Sean Ryan, David S. Matteson","doi":"10.1080/00401706.2024.2365730","DOIUrl":"https://doi.org/10.1080/00401706.2024.2365730","url":null,"abstract":"We introduce a new approach for decoupling trends (drift) and changepoints (shifts) in time series. Our locally adaptive model-based approach for robustly decoupling combines Bayesian trend filteri...","PeriodicalId":22208,"journal":{"name":"Technometrics","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141508999","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
Screening designs for continuous and categorical factors 连续因素和分类因素的筛选设计
IF 2.5 3区 工程技术
Technometrics Pub Date : 2024-06-07 DOI: 10.1080/00401706.2024.2362149
Bradley Jones, Ryan Lekivetz, D. Majumdar, C. Nachtsheim
{"title":"Screening designs for continuous and categorical factors","authors":"Bradley Jones, Ryan Lekivetz, D. Majumdar, C. Nachtsheim","doi":"10.1080/00401706.2024.2362149","DOIUrl":"https://doi.org/10.1080/00401706.2024.2362149","url":null,"abstract":"","PeriodicalId":22208,"journal":{"name":"Technometrics","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141373704","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
Minimum Regularized Covariance Trace Estimator and Outlier Detection for Functional Data 功能数据的最小正则化协方差轨迹估计器和离群点检测
IF 2.5 3区 工程技术
Technometrics Pub Date : 2024-05-07 DOI: 10.1080/00401706.2024.2336542
Jeremy Oguamalam, Una Radojičić, Peter Filzmoser
{"title":"Minimum Regularized Covariance Trace Estimator and Outlier Detection for Functional Data","authors":"Jeremy Oguamalam, Una Radojičić, Peter Filzmoser","doi":"10.1080/00401706.2024.2336542","DOIUrl":"https://doi.org/10.1080/00401706.2024.2336542","url":null,"abstract":"We propose the Minimum Regularized Covariance Trace (MRCT) estimator, a novel method for robust covariance estimation and functional outlier detection designed primarily for dense functional data. ...","PeriodicalId":22208,"journal":{"name":"Technometrics","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140936655","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
Sequential Data Integration Under Dataset Shift 数据集移动下的顺序数据整合
IF 2.5 3区 工程技术
Technometrics Pub Date : 2024-05-03 DOI: 10.1080/00401706.2024.2350436
Ying Sheng, Jing Qin, Chiung-Yu Huang
{"title":"Sequential Data Integration Under Dataset Shift","authors":"Ying Sheng, Jing Qin, Chiung-Yu Huang","doi":"10.1080/00401706.2024.2350436","DOIUrl":"https://doi.org/10.1080/00401706.2024.2350436","url":null,"abstract":"With the rapidly increasing availability of large-scale and high-velocity streaming data, efficient algorithms that can process data in batches without requiring expensive storage and computation r...","PeriodicalId":22208,"journal":{"name":"Technometrics","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140936840","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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