Brani Vidakovic
Institute of Statistics and
Decision Sciences [ISDS], Duke University
Wavelet-based Approach to Functional Data Analysis
Recent applications multiresolution methods on wavelet-non-standard problems include functional data analysis (FDA).
Ongoing research with Gary Rosner from Duke Medical Center is concerned by separating treatment effects in
longitudinal observations in a functional ANOVA setup. We present a Bayesian solution of the problem and
indicate some other approaches. An example of dimension reduction by wavelets
with applications in spectral analysis is also presented.
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