Functional Data Analysis and Its Application
A special issue of Axioms (ISSN 2075-1680). This special issue belongs to the section "Mathematical Analysis".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 54
Special Issue Editors
Interests: functional data analysis; spatial econometric modeling; financial time series analysis
Interests: probability and stochastic processes; functional data analysis; financial time series
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Functional data analysis (FDA) is a branch of statistics concerned with the analysis of infinite-dimensional variables such as curves, sets, and images. This Special Issue, "Functional Data Analysis and Its Application", aims to handle the high-dimensional, time-dependent, and irregularly sampled functional data. With the rapid development of sensor technologies and data collection methods, FDA techniques are increasingly applied in finance, biostatistics, engineering, environmental sciences, etc. Hence, this Special Issue also focuses on the application of functional data analysis methods in various fields, including but not limited to climate science, financial forecasting, biostatistics, and environmental science. With the exponential growth of data scales and the increasing demand for adaptive learning frameworks, this Special Issue emphasizes innovations in large-scale FDA, semi-supervised learning, and transfer learning to address challenges in cross-domain generalization and computational efficiency. Contributions bridging FDA with modern machine learning paradigms are particularly encouraged.
Dr. Jianjun Zhou
Prof. Dr. Jong-Min Kim
Guest Editors
Manuscript Submission Information
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Keywords
- functional data analysis
- high-dimensional data
- transfer learning
- semi-supervised learning
- machine learning
- distributed inference
- subsampling
- functional regression analysis
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