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Showing 1 to 6 of 6 for “"functional ANOVA"”.
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Functional Anova Models With Application to Corporate Bonds
… different approaches for testing hypotheses in functional ANOVA models. While testing different hypotheses, we proposed four different approaches for resampling data under the null hypothesis of no effect of the factors. They include bootstrapping method with two separate resampling approaches: …
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Applications of functional data analysis to environmental problems.
Functional Data Analysis (FDA) is a relatively recent framework within the statistical sciences, and while it offers compelling benefits to many applications, it has not yet gained widespread applied use. Two important environmental applications, water quality profile forecasting and larval fish …
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Effect size estimation and robust classification for irregularly sampled functional data
Functional data arise frequently in numerous scientific fields with the development of modern technology. Accordingly, functional data analysis to extract information on curves or functions is an important area for investigation. In this thesis, we address two key issues: measuring an effect size …
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Statistical methods for modeling RNA-Seq short-read data
… expressed genes in timecourse data using a functional ANOVA mixed-effect model.
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Explainable AI: A Unified Approach Based on Cooperative Game Theory
… feature-based explanations. By integrating functional ANOVA decompositions with the Möbius transform (MT) and Shapley Interactions (SIs) from cooperative game theory, we bridge perturbation- and gradient-based local explanations, as well as sensitivity-based and performance-based global …
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Functional Data Models for Raman Spectral Data and Degradation Analysis
Functional data analysis (FDA) studies data in the form of measurements over a domain as whole entities. Our first focus is on the post-hoc analysis with pairwise and contrast comparisons of the popular functional ANOVA model comparing groups of functional data. Existing contrast tests assume …