Difference between revisions of "SOCR News SpacekimeAnalytics Fall2019"

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[[Image:SOCR_Hat_2019.png|150px|thumbnail|right| [http://socr.umich.edu SOCR Resource] ]]
 
[[Image:SOCR_Hat_2019.png|150px|thumbnail|right| [http://socr.umich.edu SOCR Resource] ]]
 
* '''School of Public Health''': [https://sph.umich.edu/biostat/events.php Biostatistics Seminar]
 
* '''School of Public Health''': [https://sph.umich.edu/biostat/events.php Biostatistics Seminar]
* '''Date/Times''': Thursday, September 26, 2019, 3:30 PM.
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* '''Date/Times''': Thursday, September 26, 2019, 3:30 PM
* '''Place/Time''': [https://maps.studentlife.umich.edu/building/henry-frieze-vaughan-public-health-building 3755 SPH-I], University of Michigan, Ann Arbor.
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* '''Place/Time''': [https://maps.studentlife.umich.edu/building/henry-frieze-vaughan-public-health-building 3755 SPH-I], University of Michigan, Ann Arbor
* '''Presenter''': [http://www.socr.umich.edu/people/dinov/ Ivo Dinov]
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* '''Presenter''': [http://www.socr.umich.edu/people/dinov/ Ivo Dinov], joint work with [http://www.socr.umich.edu/people/Milen_Velev.html Milen Velev]
 
* '''Flyer''': [http://wiki.socr.umich.edu/images/0/06/Dinov_SPH_Biostats_Spacekime_TalkFlyer_092619.pdf Seminar Flyer]
 
* '''Flyer''': [http://wiki.socr.umich.edu/images/0/06/Dinov_SPH_Biostats_Spacekime_TalkFlyer_092619.pdf Seminar Flyer]
  
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==References==
 
==References==
 
* [http://spacekime.org Spacekime Analytics]
 
* [http://spacekime.org Spacekime Analytics]
* [[SOCR]] is sponsored in part by NIH Grants [http://projectreporter.nih.gov/project_info_details.cfm?aid=8975330&icde=25689118 P30 DK089503], [http://projectreporter.nih.gov/project_info_description.cfm?aid=8821268&icde=22205726 P20 NR015331], [http://projectreporter.nih.gov/project_info_description.cfm?aid=8907508&icde=22205754 U54 EB020406], [http://projectreporter.nih.gov/project_info_description.cfm?aid=8882615&icde=22023333 P50 NS091856], [https://projectreporter.nih.gov/project_info_description.cfm?aid=9491961&icde=39078316 UL1TR002240],  
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* Special thanks to Yongkai Qiu, Yufei Yang, Zhe Yin, and Jinwen Cao for their substantial efforts in developing, packaging, documenting, and validating the [https://github.com/SOCR/TCIU TCIU R source code].
[https://projectreporter.nih.gov/project_info_description.cfm?aid=9816658 R01CA233487],
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* [[SOCR]] is sponsored in part by NIH Grants [http://projectreporter.nih.gov/project_info_details.cfm?aid=8975330&icde=25689118 P30 DK089503], [http://projectreporter.nih.gov/project_info_description.cfm?aid=8821268&icde=22205726 P20 NR015331], [http://projectreporter.nih.gov/project_info_description.cfm?aid=8907508&icde=22205754 U54 EB020406], [http://projectreporter.nih.gov/project_info_description.cfm?aid=8882615&icde=22023333 P50 NS091856], [https://projectreporter.nih.gov/project_info_description.cfm?aid=9491961&icde=39078316 UL1TR002240], [https://projectreporter.nih.gov/project_info_description.cfm?aid=9816658 R01CA233487], as well as, NSF Grants [http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1916425 1916425], [http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1734853 1734853] and [http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1636840 1636840].
as well as, NSF Grants [http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1916425 1916425], [http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1734853 1734853] and [http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1636840 1636840].
 
 
* SOCR Home page: http://www.socr.umich.edu
 
* SOCR Home page: http://www.socr.umich.edu
  
  
 
{{translate|pageName=http://wiki.socr.umich.edu/index.php/SOCR_News_SpacekimeAnalytics_Fall2019}}
 
{{translate|pageName=http://wiki.socr.umich.edu/index.php/SOCR_News_SpacekimeAnalytics_Fall2019}}

Latest revision as of 11:30, 23 September 2019

SOCR News & Events: Longitudinal Spacekime Analytics: Time Complexity & Inferential Uncertainty

Logistics

Title

Longitudinal Spacekime Analytics: Time Complexity & Inferential Uncertainty

Abstract

As Big biomedical and health data becomes more ubiquitous, the corresponding analytical challenges require novel techniques for data management, aggregation, harmonization, processing, and analytics. This talk will present a new technique for modeling high-dimensional and time-varying data. The Longitudinal Spacekime Analytics approach relies on extending the notions of time and event to complex-time (kime) and complex-event (kevent). We will illustrate how the kime-order (time) and kime-direction (phase) affect the subsequent predictive analytics and the induced scientific inference. We will present some of the mathematical foundations and reveal various statistical implications including inferential uncertainty and Bayesian formulation of spacekime analytics. Simulated data, clinical observations (e.g., fMRI, UK Biobank), and air quality data will be used to demonstrate applications of spacekime analytics.

Slidedeck

Presentation Slides (PDF).

SOCR Resources

SOCR Demos


References




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