David Higdon
Professor
Bioinformatics
Virginia Bioinformatics Institute
United States of America
Biography
Dr. David Higdon is currently working as a Professor in the Department of I12Bioinformatics, , . His research interests includes space-time modeling; inverse problems in hydrology and imaging; statistical modeling in ecology, environmental science, and biology; multiscale models; parallel processing in posterior exploration; statistical computing; and Monte Carlo and simulation based methods. He /she is serving as an editorial member and reviewer of several international reputed journals. Dr. David Higdon is the member of many international affiliations. He/ She has successfully completed his Administrative responsibilities. He /she has authored of many research articles/books related to space-time modeling; inverse problems in hydrology and imaging; statistical modeling in ecology, environmental science, and biology; multiscale models; parallel processing in posterior exploration; statistical computing; and Monte Carlo and simulation based methods.
Research Interest
space-time modeling; inverse problems in hydrology and imaging; statistical modeling in ecology, environmental science, and biology; multiscale models; parallel processing in posterior exploration; statistical computing; and Monte Carlo and simulation based methods
Publications
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Chylek P, Vogelsang TJ, Klett JD, et al. Indirect aerosol effect increases CMIP5 models projected Arctic warming. Journal of Climate. 2015;(2015).
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Bornn L, Farrar CR, Higdon D, Murphy KP. Modeling and diagnosis of structural systems through sparse dynamic graphical models. Mechanical Systems and Signal Processing. 2015.
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Keller S S. Shipp M. Orr D. Higdon G. Korkmaz A. Schroeder E. Molfino B. Pires K. Ziemer and D. Weinberg. Leveraging External Data Sources to Enhance Official Statistics and Products. Report prepared for the U.S. Census Bureau. Arlington, VA: Social and Decision Analytics Laboratory (SDAL), Biocomplexity Institute of Virginia Tech; 2016.
