A comparison of testing methods in scalar-on-function regression
Published in AStA Advances in Statistical Analysis, 2019
This paper provides a comprehensive comparison of testing methods used in scalar-on-function regression, where the response variable is scalar-valued and the predictor is a function. The authors evaluate the performance of different testing approaches through simulation studies and real data applications, offering practical guidance for researchers working with functional data analysis.
The study started as a course project completed with my classmate Merve Tekbudak, under the supervision of Prof. Staicu and Prof. Maity. It examines various hypothesis testing procedures and their properties, contributing to the understanding of how to effectively analyze relationships between scalar outcomes and funct
Recommended citation: Tekbudak, M.Y., Alfaro-Córdoba, M., Maity, A., & Staicu, A.M. (2019). "A comparison of testing methods in scalar-on-function regression." AStA Advances in Statistical Analysis. 103(3), 411-436.
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