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检索条件"机构=Program in Applied Statistics"
397 条 记 录,以下是101-110 订阅
排序:
Exact Average Run Length Evaluation for an ARMAX(p,q,r) Process Running on a Modified EWMA Control Chart
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IAENG International Journal of applied Mathematics 2023年 第1期53卷 1页
作者: Silpakob, Korakoch Areepong, Yupaporn Sukparungsee, Saowanit Sunthornwat, Rapin Department of Applied Statistics Faculty of Applied Science King Mongkut’s University of Technology North Bangkok Bang Sue Bangkok10800 Thailand Industrial Technology Program Faculty of Science and Technology Pathumwan Institute of Technology Pathumwan Bangkok10330 Thailand
In this study, we apply the Fredholm-type integral equation method to derive the explicit formulas of the average run length (ARL) for an autoregressive moving average process with explanatory variables (ARMAX(p,q,r))... 详细信息
来源: 评论
Beyond trees: classification with sparse pairwise dependencies
The Journal of Machine Learning Research
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The Journal of Machine Learning Research 2020年 第1期21卷 7728-7760页
作者: Yaniv Tenzer Amit Moscovich Mary Frances Dorn Boaz Nadler Clifford Spiegelman Department of Computer Science and Applied Mathematics Weizmann Institute of Science Rehovot Israel Program in Applied and Computational Mathematics Princeton University Princeton NJ Los Alamos National Laboratory Los Alamos NM Department of Statistics Texas A&M University College Station TX
Several classification methods assume that the underlying distributions follow tree-structured graphical models. Indeed, trees capture statistical dependencies between pairs of variables, which may be crucial to attai... 详细信息
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On the cross-validation bias due to unsupervised preprocessing
arXiv
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arXiv 2019年
作者: Moscovich, Amit Rosset, Saharon Program in Applied and Computational Mathematics Princeton University PrincetonNJ United States Department of Statistics and Operations Research Tel-Aviv University Tel-Aviv Israel
Cross-validation is the de facto standard for predictive model evaluation and selection. In proper use, it provides an unbiased estimate of a model's predictive performance. However, data sets often undergo variou... 详细信息
来源: 评论
Some results in optimal hierarchical estimation
Some results in optimal hierarchical estimation
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IEEE Conference on Decision and Control
作者: S. Roy P. Bhimasankaram R. A. Iltis Department of Electrical and Computer Engineering University of California Santa Barbara CA USA Statistics and Applied probability program University of California Santa Barbara CA USA
The primary objective of this paper is to review several results available in the statistical literature pertaining to the problem of hierarchical estimation. Some relevant extensions are derived for the problem of re... 详细信息
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Modeling High-Resolution Spatio-Temporal Wind with Deep Echo State Networks and Stochastic Partial Differential Equations
arXiv
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arXiv 2024年
作者: Wang, Kesen Kim, Minwoo Castruccio, Stefano Genton, Marc G. Statistics Program King Abdullah University of Science and Technology Thuwal23955-6900 Saudi Arabia Department of Statistics Pusan National University Busan46241 Korea Republic of Department of Applied and Computational Mathematics and Statistics University of Notre Dame Notre DameIN46556 United States
In the past decades, clean and renewable energy has gained increasing attention due to a global effort on carbon footprint reduction. In particular, Saudi Arabia is gradually shifting its energy portfolio from an excl... 详细信息
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Towards a legal compliance verification approach on the procurement process of IT solutions for the Brazilian Federal Public Administration
Towards a legal compliance verification approach on the proc...
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Requirements Engineering and Law, RELAW
作者: Lamartine da Silva Barboza Gilberto A. de A. Cysneiros Filho Ricardo A. C. de Souza Master's Program in Applied Informatics Federal Rural University of Pemambuco Recife Brazil Department of Statistics and Informatics Federal Rural University of Pernambuco Recife Brazil
The Brazilian federal government regulates the process for procurement of Information Technology (IT) solutions through specific legislation named Regulatory Instruction - RI N° 04/2010. This process consists of ... 详细信息
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Regularized matrix data clustering and its application to image analysis
arXiv
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arXiv 2018年
作者: Gao, Xu Shen, Weining Ombao, Hernando Department of Statistics University of California IrvineCA United States Program on Applied Mathematics & Computational Science King Abdullah University of Science and Technology Saudi Arabia
In this paper, we propose a regularized mixture probabilistic model to cluster matrix data and apply it to brain signals. The approach is able to capture the sparsity (low rank, small/zero values) of the original sign... 详细信息
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Machine-learning-based non-Newtonian fluid model with molecular fidelity
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Physical Review E 2020年 第4期102卷 043309-043309页
作者: Huan Lei Lei Wu Weinan E Department of Computational Mathematics Science & Engineering and Department of Statistics & Probability Michigan State University East Lansing Michigan 48824 USA Department of Mathematics and Program in Applied and Computational Mathematics Princeton University Princeton New Jersey 08544 USA
We introduce a machine-learning-based framework for constructing continuum a non-Newtonian fluid dynamics model directly from a microscale description. Dumbbell polymer solutions are used as examples to demonstrate th... 详细信息
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Assessing alternatives for meeting water demand: A case study of water resource management in the Brazilian Semiarid region
Assessing alternatives for meeting water demand: A case stud...
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作者: de Andrade Santana, Rosinele Marques Bezerra, Saulo de Tarso Melo dos Santos, Sylvana Paiva Coutinho, Artur Lopes Coelho, Isabela Carolina Silva Pessoa, Ruben Vivaldi Postgraduation Program in Civil and Environmental Engineering Universidade Federal de Pernambuco CaruaruPE Brazil Department of Technology Universidade Federal de Pernambuco Avenida Campina Grande S/N CaruaruPE55014-900 Brazil Department of Civil and Environmental Engineering Universidade Federal de Pernambuco RecifePE Brazil Postgraduation Program in Biometry and Applied Statistics Universidade Federal Rural de Pernambuco RecifePE Brazil
Population growth, climate change, and the occurrence of droughts have intensified the water supply crises in the Brazilian Semiarid region. The objective of this study was to identify the most relevant measures for t... 详细信息
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Assessing the reliability of wind power operations under a changing climate with a non-Gaussian bias correction
arXiv
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arXiv 2020年
作者: Zhang, Jiachen Crippa, Paola Genton, Marc G. Castruccio, Stefano Department of Applied and Computational Mathematics and Statistics University of Notre Dame United States Department of Civid and Environmental Engineering and Geoscience University of Notre Dame United States Statistics Program King Abdullah University of Science and Technology Saudi Arabia
Facing increasing societal and economic pressure, many countries have established strategies to develop renewable energy portfolios, whose penetration in the market can alleviate the dependence on fossil fuels. In the... 详细信息
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