SCRC 2005 / FIM XII
   Hosted by Auburn University

Organizing Committees
Announcement
Important Dates
Featured Speakers
New
Workshops/Special Events
New
R. C. Bose Memorial Keynote
Symposia Topics
Tentative Schedule
Abstract Submission
Student Competition
Registration (on-line)
Sponsors (updated list)
Past Conferences
Hotel (GOING FAST)
Contact Us
Main Page

 
Brani Vidakovic is Professor of Biostatistics at The Wallace H. Coulter Department of Biomedical Engineering at Georgia Institute of Technology and Emory University. He has BS and MS in Mathematics from University of Belgrade and PhD in Statistics from Purdue University. He was an Assistant and Associate Professor of Statistics and Decision Sciences at Duke University prior to joining Georgia Institute of Technology in 2000. Dr Vidakovic is an Editor-in-Chief of Encyclopedia of Statistical Sciences, Second Edition, Wiley., and an Associate Editor of: Journal of Statistical Planning and Inference, Communications in Statistics, Applied Stochastic Models in Business and Industry, and Bayesian Statistics. He is a member of American Statistical Association, Institute of Mathematical Statistics, International Society for Bayesian Analysis, Bernoulli Society, and Elected Member of International Statistical Institute. Currently he is the President of Georgia Chapter of ASA.

Wavelets in Biomedical Data Analysis: Scaling and FANOVA in Applications.

Measured bioresponses are often characterized by an intrinsic high frequency and strong persistent correlations inhibiting statistical modeling by traditional techniques. The talk overviews two novel wavelet-based techniques for modeling such challenging data. In addition to several desirable properties used for data smoothing and compression, wavelet transformations whiten and decorrelate data. Wavelet domains provide natural modeling environments for data that scale as well as for data consisting of continuous n-dimensional functions. We briefly discuss technicalities and describe in detail two applications. First application deals with wavelet analysis of functional ANOVA (FANOVA) where the observations are curves coming from clinical research. The second application discusses use of wavelet-based measures of irregular scaling (multifractal spectra) in classification of high frequency pupillary responses for people with various eye pathologies.

 

 

 


 

12th Annual Conference of the Forum for Interdisciplinary Mathematics (FIM XII)