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检索条件"机构=Data Analysis and Modeling"
323 条 记 录,以下是1-10 订阅
排序:
Moment Selection and Generalized Empirical Likelihood Estimation in High-Dimensional Unconditional Moment Conditions
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Journal of Systems Science & Complexity 2024年 第6期37卷 2738-2770页
作者: WANG Wenjun YANG Zhihuang Yunnan Key Laboratory of Statistical Modeling and Data Analysis Yunnan UniversityKunming 650091China
This paper investigates the moment selection and parameter estimation problem of highdimensional unconditional moment conditions. First, the authors propose a Fantope projection and selection(FPS) approach to distingu... 详细信息
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Variational Bayesian Tensor Quantile Regression
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Acta Mathematica Sinica,English Series 2025年 第2期41卷 733-756页
作者: Yunzhi Jin Yanqing Zhang Yunnan Key Laboratory of Statistical Modeling and Data Analysis Yunnan UniversityKunming 650091P.R.China Yunnan Key Laboratory of Statistical Modeling and Data Analysis Southwest United Graduate SchoolYunnan UniversityKunming 650091P.R.China
Quantile regression is widely used in variable relationship research for statistical *** quantile regression model is based on vector-valued covariates and can be efficiently estimated via traditional estimation ***,m... 详细信息
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Diagnostic Measures for Functional Linear Model with Nonignorable Missing Responses
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Communications in Mathematics and Statistics 2024年 第3期12卷 543-562页
作者: Yujian Zhu Puying Zhao Key Lab of Statistical Modeling and Data Analysis of Yunnan Province Yunnan UniversityKunmingPeople’s Republic of China
Assessing the influence of individual observations of the functional linear models is important and challenging,especially when the observations are subject to *** this paper,we introduce three case-deletion diagnosti... 详细信息
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Hybrid Surrogate modeling Approach for data Reduction and Design Space Exploration of Turbine Blades
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Journal of Engineering for Gas Turbines and Power 2025年 第7期147卷 071004页
作者: Ali, Sazeed S. Yadav, Vikas S. Nouri, Behnam Ghani, Abdulla Tools and Data Applications Siemens Energy AG Huttenstr. 12 Berlin10553 Germany Data Analysis and Modeling of Turbulent Flows Technische Universität Berlin Müller-Breslau-Straße 15 Berlin10623 Germany Chair of Data Analysis and Modeling of Turbulent Flows Technische Universität Berlin Müller-Breslau-Straße 15 Berlin10623 Germany
The conventional iterative optimization of turbine blades using computer-aided engineering simulations is resource-intensive, with high costs and time demands, as well as significant challenges in computational requir... 详细信息
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Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?  41
Is Epistemic Uncertainty Faithfully Represented by Evidentia...
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41st International Conference on Machine Learning, ICML 2024
作者: Jürgens, Mira Meinert, Nis Bengs, Viktor Hüllermeier, Eyke Waegeman, Willem Department of Data Analysis and Mathematical Modeling Ghent University Belgium Neustrelitz Germany Germany
Trustworthy ML systems should not only return accurate predictions, but also a reliable representation of their uncertainty. Bayesian methods are commonly used to quantify both aleatoric and epistemic uncertainty, but... 详细信息
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Efficient Estimation of Single-index Models with Deep ReQU Neural Networks
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Acta Mathematica Sinica,English Series 2025年 第2期41卷 640-676页
作者: Zhihuang Yang Siming Zheng Niansheng Tang Yunnan Key Laboratory of Statistical Modeling and Data Analysis Yunnan UniversityKunming 650091P.R.China School of Medicine Yale UniversityNew HavenCT 06520USA
Single-index model offers the greater flexibility of modelling than generalized linear models and also retains the interpretability of the model to some extent. Although many standard approaches such as kernels or pen... 详细信息
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Forecasting stock market returns using deep learning and time series techniques: a comparative and empirical study using technical indicators
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Multimedia Tools and Applications 2024年 1-21页
作者: Fahd, Kalloubi Badr, Hirchoua Eddine, Labiad Salah Mouad, Aterhi LTI Laboratory National School of Applied Sciences El Jadida Morocco Casablanca Morocco Modeling Simulation and Data Analysis Mohammed VI Polytechnic University Ben Guerir Morocco
Deep learning models enable learning strategic and accurate behaviors. Nevertheless, training accurate models in dynamic environments, such as stock markets, has been a long-standing challenge. They suffer from partia... 详细信息
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Feedback of Efficient Shock Acceleration on Magnetic-field Structure Inside Young Type Ia Supernova Remnants
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Research in Astronomy and Astrophysics 2024年 第6期24卷 234-244页
作者: Jun-Yu Shen Bi-Wen Bao Li Zhang Department of Astronomy Key Laboratory of Astroparticle Physics of Yunnan ProvinceYunnan UniversityKunming 650091China Key Laboratory of Statistical Modeling and Data Analysis of Yunnan Province Yunnan UniversityKunming 650091China
Using an effective adiabatic index γ_(eff) to mimic the feedback of efficient shock acceleration,we simulate the temporal evolution of a young type Ia supernova remnant (SNR) with two different background magnetic fi... 详细信息
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Estimation of Treatment Effects in Nonlinear Models with Unobserved Confounding
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Acta Mathematicae Applicatae Sinica 2023年 第2期39卷 320-336页
作者: Yu-ling LI Jun WANG Research Center for Applied Mathematics and Interdisciplinary Sciences Beijing Normal UniversityZhuhai 519087China Yunnan Key Laboratory of Statistical Modeling and Data Analysis Yunnan UniversityKunming 650091China
Estimation of treatment effects is one of the crucial mainstays in economics and sociology *** problem will become more serious and complicated if the treatment variable is endogenous for the presence of unobserved **... 详细信息
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The superposition solution of positive quadratic function and arbitrary positive function of a (3+1)-dimensional soliton equation under vector representation
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Optical and Quantum Electronics 2025年 第4期57卷 1-17页
作者: Sun, Wenlong Bilige, Sudao Shao, Hangbing Wang, Wenjing Department of Mathematics Inner Mongolia University of Technology Hohhot010051 China Inner Mongolia Key Laboratory of Statistical Analysis Theory for Life Data and Neural Network Modeling Hohhot010051 China
The Hirota bilinear method was utilized to study a (3+1)-dimensional soliton equation, and we achieved success in obtaining a variety of solutions to the equation. Successfully yielding various solutions, such as lump... 详细信息
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