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Data Analytics Colloquium (DAC) is supported by the National Chung Hsing University College of Law and Politics and the University of Texas at Dallas School of Economic, Political and Policy Sciences. The colloquium convenes international scholars and data scientists in online seminars and workshops. Members of the colloquium will engage in conversation with speakers and replication of data methods and big data models. The colloquium will be delivered using online learning platform and codes and data will be open for access in GitHub. The weekly webinars will be co-hosted by the National Chung Hsing University and the University of Texas at Dallas. We invite participation from students and scholars in Taiwan and the United States. Real time events will open for registration and recorded videos will be archived and made available for public access.
Critical Differences in Bayesian and Non-Bayesian Inference and Why the Former is Better - by Jeff Gill
This talk introduces the theoretical and applied foundations of Bayesian statistical analysis in a manner appropriate to social and behavioral scientists The Bayesian paradigm is ideally suited to the type of data analysis required in these fields because it recognizes the mobility of population parameters, ncorporates prior knowledge that researchers possess, and updates estimates as new data are observed. Examples will be drawn from political science, public policy, and anthropology... Read More
Thursday, December 17, 2020 at 8:00pm to 10:00pm
Persons with disabilities may submit a request for accommodations to participate in this event at UT Dallas' ADA website. You may also call (972) 883-5331 for assistance or send an email to ADACoordinator@utdallas.edu. All requests should be received no later than 2 business days prior to the event.