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Dimension reduction with expectation of conditional difference measure
Statistical Theory and Related Fields, 2023 In this article, we introduce a flexible model-free approach to sufficient dimension reduction analysis using the expectation of conditional difference measure.
Wenhui Sheng, Qingcong Yuan
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Modern Dimension Reduction [PDF]
, 2021 83 pages, 36 figures, to appear in the Cambridge University Press Elements in Quantitative and Computational Methods for the Social Sciences ...
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A Review on Dimension Reduction [PDF]
International Statistical Review, 2012 RésuméRésumer l'impact d'un nombre élevé de variables explicatives à celui d'un nombre réduit de combinaisons linéaires bien choisies constitue une façon efficace de réduire la dimension d'un problème. Cette réduction à un petit nombre de combinaisons linéaires est réalisée à partir d'hypothèses minimales sur la forme de la dépendance et jouit, par ...
Ma, Yanyuan, Zhu, Liping
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Quantile treatment effect estimation with dimension reduction
Statistical Theory and Related Fields, 2020 Quantile treatment effects can be important causal estimands in evaluation of biomedical treatments or interventions for health outcomes such as medical cost and utilisation.
Ying Zhang +3 more
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Dimension and Dimensional Reduction in Quantum Gravity
Universe, 2019 If gravity is asymptotically safe, operators will exhibit anomalous scaling at the ultraviolet fixed point in a way that makes the theory effectively two-dimensional.
Steven Carlip
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, 2021 When data objects that are the subject of analysis using machine learning techniques are described by a large number of features (i.e. the data is high dimension) it is often beneficial to reduce the dimension of the data. Dimension reduction can be beneficial not only for reasons of computational efficiency but also because it can improve the accuracy
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Application of Dimension Reduction Methods for Stress Detection
International Journal of Pioneering Technology and Engineering, 2023 Effective detection of stress situations plays an important role in combating it. This is the main source of motivation for research to identify and evaluate different psychological conditions.
Erhan Bergil
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Aggregate Kernel Inverse Regression Estimation
Mathematics, 2023 Sufficient dimension reduction (SDR) is a useful tool for nonparametric regression with high-dimensional predictors. Many existing SDR methods rely on some assumptions about the distribution of predictors. Wang et al.
Wenjuan Li +3 more
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the Digital-Image Dimension Reduction Via Analysis of Principal component
Wasit Journal of Engineering Sciences, 2022 An Image with high-resolution is associated with huge size data space because each information of the image is arranged into 2D picture elements' values, each of them containing its associated value of the RGB bits.
rusul fadhil +4 more
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Spectral Dimension Reduction of Complex Dynamical Networks
Physical Review X, 2019 Dynamical networks are powerful tools for modeling a broad range of complex systems, including financial markets, brains, and ecosystems. They encode how the basic elements (nodes) of these systems interact altogether (via links) and evolve (nodes ...
Edward Laurence +3 more
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