WELCOME TO THE SPACE-TIME GROUP
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We are a statistical group primarily based at UC Irvine and UC Santa Cruz. However, our research network currently includes investigators at other Academic institution worldwide, primarily University of Minnesota, and KAUST (Saudi Arabia).
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Our focus is on developing novel statistical methods and models for analyzing massive spatio-temporal data with complex dependence structures.
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We collaborate with scientists on study design, modeling & analysis of space-time data arising from various fields such as neuroscience, neurology, psychiatry, sociology and epidemiology.
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Through collaborative projects, undergraduate and graduate students are engaged in all phases of inter-disciplinary research including model formulation, implementation and communication of results.
NEWS
MEETING INFORMATION
Winter 2018: Monday 9:30-10:30am, in Room DBH 2222 (UCI).
October 11, 2017
New Videos! Recent advances on big data in brain science.
The Data Science Initiative sponsored a two-day workshop on February 16 and 17, 2017 that highlighted recent advances on big data in brain science.
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Check out below the videos featuring Dr. Mark Fiecas (UMN) and Dr. Scott Makeig (UCSD)
September 01, 2017
Modeling Binary Time Series
Congratulations to Xu Gao (UCI). His paper "Modeling Binary Time Series Using Gaussian Processes With Application to Predicting Sleep States" has been accepted for publication in the Journal of Classification. He also developed an R package "HIBITS" which implements the new method. See in the Publications & Software pages for links.
August 07, 2017
JSM 2017
The following students presented their research at JSM 2017: Maricela Cruz (student paper awardee); Cheng-Han Yu (UCSC, student paper awardee); Xu Gao (UCI, student paper awardee), Dustin Pluta (UCI), and Brian Hart (UMN).
The following faculty also had presentations at JSM 2017: Raquel Prado (lecturer for a course); Mark Fiecas (invited session); Michele Guindani (invited session); Hernando Ombao (invited session); and Zhaoxia Yu (invited session).
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