Search Results for author: Jaewon Chung

Found 5 papers, 4 papers with code

Independence Testing for Temporal Data

no code implementations18 Aug 2019 Cencheng Shen, Jaewon Chung, Ronak Mehta, Ting Xu, Joshua T. Vogelstein

While many non-parametric and universally consistent dependence measures have recently been proposed, directly applying them to temporal data can inflate the p-value and result in an invalid test.

Time Series Time Series Analysis +1

GraSPy: Graph Statistics in Python

2 code implementations29 Mar 2019 Jaewon Chung, Benjamin D. Pedigo, Eric W. Bridgeford, Bijan K. Varjavand, Hayden S. Helm, Joshua T. Vogelstein

We introduce GraSPy, a Python library devoted to statistical inference, machine learning, and visualization of random graphs and graph populations.

BIG-bench Machine Learning

Sparse Projection Oblique Randomer Forests

2 code implementations10 Jun 2015 Tyler M. Tomita, James Browne, Cencheng Shen, Jaewon Chung, Jesse L. Patsolic, Benjamin Falk, Jason Yim, Carey E. Priebe, Randal Burns, Mauro Maggioni, Joshua T. Vogelstein

Unfortunately, these extensions forfeit one or more of the favorable properties of decision forests based on axis-aligned splits, such as robustness to many noise dimensions, interpretability, or computational efficiency.

Computational Efficiency

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