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Further Information

Wayne Oldford:

Selected Papers:

  • Visualizing Dependence in High-Dimensional Data: An Application to S&P 500 Constituent Data (Marius Hofert, Wayne Oldford) In press 2018 Econometrics and Statistics: www.sciencedirect.com/science/article/pii/S245230621730031X

  • Euclidean distance matrix completion and point configurations from the minimal spanning tree (Adam Rahman, Wayne Oldford) SIAM Journal on Optimization, 2018: epubs.siam.org/doi/10.1137/16M1092350

  • A framework for measuring dependence between random vectors (Marius Hofert, Wayne Oldford, Avinash Prasad, Mu Zhu) (submitted 2018 to J. Multivariate Analysis) arxiv.org/abs/1801.03596

YouTube channel:

Most relevant to the talk are those numbered 19a to 23 inclusive. Here are links to a few of those:

Software:

Much of the software used is the loon package in R. Those interested in exploring it themselves might visit some online documentation and examples at

  • Loon: An interactive statistical visualization toolkit: waddella.github.io/loon/ (from CRAN, in R: install-packages(“loon”) )