Nonparametric and Semiparametric Regression for Dependent Data
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We are honored to include this article to celebrate the publication of Ray’s collected works by Springer. These collected works mark another milestone in Ray’s distinguished career, as evident by the wide range of statistics publications he has contributed to the literature over the years. The enclosed papers have had far-reaching impacts on the field of statistics, in addition to other disciplines, including AIDS research, cancer studies, finance, image analysis, proteomics, and genomics. We anticipate future new applications of the methods and theory Ray developed that are represented in these papers. We appreciate this opportunity to discuss Ray’s contributions to non- and semiparametric longitudinal and functional data analysis.
KeywordsSemiparametric Regression Data Dependencies Functional Data Analysis Proteomics Cancer Study
Other publications by Ray Carroll cited in this chapter.
- Lin, X. and Carroll, R. J. (2001b). Semiparametric regression for clustered data Biometrika, 88, 1179–1185.Google Scholar
- Morris, J. S., Vannucci, M., Brown, P. J., and Carroll, R. J. (2003). Wavelet-based nonparametric modeling of hierarchical functions in colon carcinogenesis. Journal of the American Statistical Association, 98, 573–597 (Editor’s Invited Paper for 2003).Google Scholar