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Beatrice Presentation March 2, 2004 Robert M. Hull, a, b Robert Kerchner, a Sungkyu Kwak, a Rosemary Walker a a School of Business, Washburn University,
Lecture 8: Multidimensional scaling - stat.pitt.edu · STAT 2221, Fall 2013 Sungkyu Jung Department of Statistics University of ... arrive at optimal low-dimensional con guration
Backward generalizations of PCA for shape representations · IntroductionPCA GeneralizationS-reps and CPNS Backward generalizations of PCA for shape representations Sungkyu Jung University
the Tidyverse and ggplot2 - Statistics€¦ · CC by RStudio the Tidyverse and ggplot2 Sungkyu Jung excepted from slides at Rstudio.com (00-Tidyverse-webinar)
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PCA CONSISTENCY IN HIGH DIMENSION, arXiv:0911.3827v1 … · By Sungkyu Jung and J. S. Marron University of North Carolina Principal Component Analysis (PCA) is an important tool of
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Grand Master Hsu Yun (V) Translations and Interpretations of Grand Master Hsu Yuns sermons and texts, with accompanying Illustrations by Fa Lian Shakya,
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Lecture 9: Classi cation and Regression Trees · STAT 2221, Spring 2015 Sungkyu Jung Department of Statistics, University of Pittsburgh Xingye Qiao Department of Mathematical Sciences
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Hedge Funds Variables and SEO Volatility By Rosemary Walker, Rob Hull, and Sungkyu Kwak Presentation by Rosemary Walker, April 5, 2011 Washburn University.
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