Sharp total variation bounds for finitely exchangeable arrays
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In this article we demonstrate the relationship between finitely exchangeable arrays and finitely exchangeable sequences. We then derive sharp bounds on the total variation distance between distributions of finitely and infinitely exchangeable arrays.
Published Version (Please cite this version)10.1016/j.spl.2016.02.013
Publication InfoVolfovsky, Alexander; & Airoldi, EM (2016). Sharp total variation bounds for finitely exchangeable arrays. Statistics and Probability Letters, 114. pp. 54-59. 10.1016/j.spl.2016.02.013. Retrieved from http://hdl.handle.net/10161/13825.
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Assistant Professor of Statistical Science
I am interested in theory and methodology for network analysis, causal inference and statistical/computational tradeoffs and in applications in the social sciences. Modern data streams frequently do not follow the traditional paradigms of n independent observations on p quantities of interest. They can include complex dependencies among the observations (e.g. interference in the study of causal effects) or among the quantities of interest (e.g. probabilities of edge formation in a network). My r