Sparse polynomial chaos expansions for global sensitivity analysis with partial least squares and distance correlation
Sign Up to like & getrecommendations! Published in 2019 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-018-2062-8
Abstract: Polynomial chaos expansion (PCE) has been proven to be a powerful tool for developing surrogate models in the field of uncertainty and global sensitivity analysis. The computational cost of classical PCE is unaffordable since the… read more here.
Keywords: global sensitivity; pce; correlation; sensitivity analysis ... See more keywords
Distance correlation-based method for global sensitivity analysis of models with dependent inputs
Sign Up to like & getrecommendations! Published in 2019 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-019-02257-z
Abstract: Global sensitivity analysis (GSA) plays an important role to quantify the relative importance of uncertain parameters to the model response. However, performing quantitative GSA directly is still a challenging problem for complex models with dependent… read more here.
Keywords: distance correlation; models dependent; dependent inputs; global sensitivity ... See more keywords
Parametric uncertainty analysis for CO2 sequestration based on distance correlation and support vector regression
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Natural Gas Science and Engineering"
DOI: 10.1016/j.jngse.2020.103237
Abstract: Abstract The uncertainty of reservoir and operating parameters challenges the accuracy of risk assessment, as well as the efficiency of optimization in carbon capture and storage (CCS) operation. To quantitatively analyze the role of uncertainty… read more here.
Keywords: vector regression; uncertainty; support vector; co2 ... See more keywords
Detection of periodicity based on independence tests – III. Phase distance correlation periodogram
Sign Up to like & getrecommendations! Published in 2018 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnrasl/slx198
Abstract: I present the Phase Distance Correlation (PDC) periodogram -- a new periodicity metric, based on the Distance Correlation concept of Gabor Szekely. For each trial period PDC calculates the distance correlation between the data samples… read more here.
Keywords: correlation; distance correlation; periodicity; phase distance ... See more keywords
Fast and Accurate Detection of Complex Imaging Genetics Associations Based on Greedy Projected Distance Correlation
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2017.2783244
Abstract: Recent advances in imaging genetics produce large amounts of data including functional MRI images, single nucleotide polymorphisms (SNPs), and cognitive assessments. Understanding the complex interactions among these heterogeneous and complementary data has the potential to… read more here.
Keywords: genetics; imaging genetics; correlation; projected distance ... See more keywords
Learning Fair Representations via Distance Correlation Minimization.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3187165
Abstract: As machine learning algorithms are increasingly deployed for high-impact automated decision-making, the presence of bias (in datasets or tasks) gradually becomes one of the most critical challenges in machine learning applications. Such challenges range from… read more here.
Keywords: fair representations; distance correlation; machine learning; learning fair ... See more keywords
Classification of Obsessive-Compulsive Disorder Using Distance Correlation on Resting-State Functional MRI Images
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Neuroinformatics"
DOI: 10.3389/fninf.2021.676491
Abstract: Both the Pearson correlation and partial correlation methods have been widely used in the resting-state functional MRI (rs-fMRI) studies. However, they can only measure linear relationship, although partial correlation excludes some indirect effects. Recent distance… read more here.
Keywords: correlation methods; correlation; resting state; distance correlation ... See more keywords