With the rapid growth of modern technology, many biomedical studies have collected data across different sources (e.g., imaging, genetics, and clinical) in an unprecedented scale. The integration of such ultra-high dimensional data raises many statistical challenges, rendering most existing statistical methods and old data platform no longer suitable and thus underscoring the great need for methodological developments from a rigorous perspective. To address these challenges, I will highlight several key statistical opportunities and strategies in big data integration and analysis through several interrelated projects.
Last Updated On Wednesday, September 13, 2017 by Haydo, Amber LC
Created On Wednesday, September 13, 2017
Zeda Li, Paul H. Chook Department of Information Systems and Statistics, City University of New York, will present, “Adaptive Bayesian Time-Frequency Analysis of Multivariate Time Series”.
Biostatistics guest speaker, Ciprian Crainiceanu, Johns Hopkins University, will review some of the most used and useful sensors in Health Sciences and the ever expanding WIT (Wearable and Implantable Technology) analytic environment.
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