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检索条件"机构=Program in Applied Statistics"
394 条 记 录,以下是81-90 订阅
排序:
Fractional Integrable and Related Discrete Nonlinear Schrödinger Equations
arXiv
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arXiv 2022年
作者: Ablowitz, Mark J. Been, Joel B. Carr, Lincoln D. Department of Applied Mathematics University of Colorado BoulderCO80309 United States Department of Applied Mathematics and Statistics Colorado School of Mines GoldenCO80401 United States Department of Physics Colorado School of Mines GoldenCO80401 United States Quantum Engineering Program Colorado School of Mines GoldenCO80401 United States
Integrable fractional equations such as the fractional Korteweg-deVries and nonlinear Schrödinger equations are key to the intersection of nonlinear dynamics and fractional calculus. In this manuscript, the first... 详细信息
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PERMUTATION INVARIANT REPRESENTATIONS with APPLICATIONS to GRAPH DEEP LEARNING
arXiv
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arXiv 2022年
作者: Balan, Radu Haghani, Naveed Singh, Maneesh Department of Mathematics University of Maryland College ParkMD20742 United States Applied Mathematics and Statistics and Scientific Computation Program University of Maryland College ParkMD20742 United States Verisk Analytics Jersey CityNJ07310 United States
This paper presents primarily two Euclidean embeddings of the quotient space generated by matrices that are identified modulo arbitrary row permutations. The original application is in deep learning on graphs where th... 详细信息
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Fractional Integrable Nonlinear Soliton Equations
arXiv
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arXiv 2022年
作者: Ablowitz, Mark J. Been, Joel B. Carr, Lincoln D. Department of Applied Mathematics University of Colorado BoulderCO80309 United States Department of Applied Mathematics and Statistics Colorado School of Mines GoldenCO80401 United States Department of Physics Colorado School of Mines GoldenCO80401 United States Quantum Engineering Program Colorado School of Mines GoldenCO80401 United States
Nonlinear integrable equations serve as a foundation for nonlinear dynamics, and fractional equations are well known in anomalous diffusion. We connect these two fields by presenting the discovery of a new class of in... 详细信息
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A new method for multiancestry polygenic prediction improves performance across diverse populations
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Nature Genetics 2023年 第10期55卷 1757-1768页
作者: Zhang, Haoyu Zhan, Jianan Jin, Jin Zhang, Jingning Lu, Wenxuan Zhao, Ruzhang Ahearn, Thomas U. Yu, Zhi O’Connell, Jared Jiang, Yunxuan Chen, Tony Okuhara, Dayne Aslibekyan, Stella Auton, Adam Babalola, Elizabeth Bell, Robert K. Bielenberg, Jessica Bryc, Katarzyna Bullis, Emily Coker, Daniella Partida, Gabriel Cuellar Dhamija, Devika Das, Sayantan Elson, Sarah L. Eriksson, Nicholas Filshtein, Teresa Fitch, Alison Fletez-Brant, Kipper Fontanillas, Pierre Freyman, Will Granka, Julie M. Heilbron, Karl Hernandez, Alejandro Hicks, Barry Hinds, David A. Jewett, Ethan M. Kukar, Katelyn Kwong, Alan Lin, Keng-Han Llamas, Bianca A. Lowe, Maya McCreight, Jey C. McIntyre, Matthew H. Micheletti, Steven J. Moreno, Meghan E. Nandakumar, Priyanka Nguyen, Dominique T. Noblin, Elizabeth S. Petrakovitz, Aaron A. Poznik, G. David Reynoso, Alexandra Schumacher, Morgan Shastri, Anjali J. Shelton, Janie F. Shi, Jingchunzi Shringarpure, Suyash Su, Qiaojuan Jane Tat, Susana A. Tchakouté, Christophe Toukam Tran, Vinh Tung, Joyce Y. Wang, Xin Wang, Wei Weldon, Catherine H. Wilton, Peter Wong, Corinna D. Garcia-Closas, Montserrat Lin, Xihong Koelsch, Bertram L. Chatterjee, Nilanjan Division of Cancer Epidemiology and Genetics National Cancer Institute Bethesda MD United States Department of Biostatistics Harvard T.H. Chan School of Public Health Boston MA United States 23andMe Inc. Sunnyvale CA United States Department of Biostatistics Johns Hopkins Bloomberg School of Public Health Baltimore MD United States Department of Biostatistics Epidemiology and Informatics University of Pennsylvania Philadelphia PA United States Department of Applied Mathematics and Statistics Johns Hopkins University Baltimore MD United States Program in Medical and Population Genetics Broad Institute of MIT and Harvard Cambridge MA United States Booz Allen Hamilton Inc. McLean VA United States Division of Genetics and Epidemiology Institute of Cancer Research London United Kingdom Department of Statistics Harvard University Cambridge MA United States Department of Oncology School of Medicine Johns Hopkins University Baltimore MD United States
Polygenic risk scores (PRSs) increasingly predict complex traits;however, suboptimal performance in non-European populations raise concerns about clinical applications and health inequities. We developed CT-SLEB, a po... 详细信息
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Sensitivity Analysis of Wind Energy Resources with Bayesian non-Gaussian and nonstationary Functional ANOVA
arXiv
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arXiv 2021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
The transition from non-renewable to renewable energies represents a global societal challenge, and developing a sustainable energy portfolio is an especially daunting task for developing countries where little to no ... 详细信息
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Nonstationary spatial modeling of massive global satellite data
arXiv
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arXiv 2021年
作者: Huang, Huang Blake, Lewis R. Katzfuss, Matthias Hammerling, Dorit M. Statistics Program King Abdullah University of Science and Technology Thuwal 23955-6900 Saudi Arabia Department of Applied Mathematics and Statistics Colorado School of Mines GoldenCO80401 United States Department of Statistics Texas A&M University College StationTX77843 United States
Earth-observing satellite instruments obtain a massive number of observations every day. For example, tens of millions of sea surface temperature (SST) observations on a global scale are collected daily by the Moderat... 详细信息
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Feature selection using stochastic gates  37
Feature selection using stochastic gates
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37th International Conference on Machine Learning, ICML 2020
作者: Yamada, Yutaro Lindenbaum, Ofir Negahban, Sahand Kluger, Yuval Department of Statistics and Data Science Yale University CT United States Program in Applied Mathematics Yale University CT United States School of Medicine Yale University CT United States
Feature selection problems have been extensively studied in the setting of linear estimation (e.g. LASSO), but less emphasis has been placed on feature selection for non-linear functions. In this study, we propose a m... 详细信息
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Variational Transformer Ansatz for the Density Operator of Steady States in Dissipative Quantum Many-Body Systems
arXiv
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arXiv 2025年
作者: Wei, Lu Jia, Zhian Wang, Yufeng Kaszlikowski, Dagomir Ling, Haibin Department of Applied Mathematics & Statistics Stony Brook University Stony BrookNY11794 United States Program of Data Science Stony Brook University Stony BrookNY11794 United States Centre for Quantum Technologies National University of Singapore SG 117543 Singapore Department of Physics National University of Singapore SG 117543 Singapore Department of Computer Science Stony Brook University Stony BrookNY11794 United States
The transformer architecture, known for capturing long-range dependencies and intricate patterns, has extended beyond natural language processing. Recently, it has attracted significant attention in quantum informatio... 详细信息
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On Time Uniform Wong-Zakai Approximation Theorems
arXiv
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arXiv 2023年
作者: Del Moral, Pierre Hu, Shulan Jasra, Ajay Ruzayqat, Hamza Wang, Xinyu Institut de Mathematiques de Bordeaux Bordeaux33405 France School of Statistics and Mathematics Zhongnan University of Economics and Law China Applied Mathematics and Computational Science Program Computer Electrical and Mathematical Sciences and Engineering Division King Abdullah University of Science and Technology Thuwal23955-6900 Saudi Arabia Wenlan School of Business Zhongnan University of Economics and Law China
We consider the long time behavior of Wong-Zakai approximations of stochastic differential equations. These piecewise smooth diffusion approximations are of great importance in many areas, such as those with ordinary ... 详细信息
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An Efficient Three-Factor Authenticated Key Agreement Technique Using FCM Under HC-IoT Architectures
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Computers, Materials & Continua 2022年 第7期72卷 1373-1389页
作者: Chandrashekhar Meshram Agbotiname Lucky Imoize Sajjad Shaukat Jamal Parkash Tambare Adel R.Alharbi Iqtadar Hussain Department of Post Graduate Studies and Research in Mathematics Jayawanti Haksar Government Post-Graduation CollegeCollege of Chhindwara UniversityBetul460001M.P.India Department of Electrical and Electronics Engineering Faculty of EngineeringUniversity of LagosAkokaLagos100213Nigeria Department of Electrical Engineering and Information Technology Institute of Digital CommunicationRuhr University44801BochumGermany Department of Mathematics College of ScienceKing Khalid UniversityAbhaSaudi Arabia Water Resources&Applied Mathematics Research Lab Nagpur440027India College of Computing and Information Technology University of TabukTabuk71491Saudi Arabia Mathematics Program Department of MathematicsStatistics and PhysicsCollege of Arts and SciencesQatar University2713DohaQatar
The Human-Centered Internet of Things(HC-IoT)is fast becoming a hotbed of security and privacy *** users can establish a common session key through a trusted server over an open communication channel using a three-par... 详细信息
来源: 评论