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Posts by Collection
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publications
Estimating Information-Theoretic Quantities with Random Forests
Published in arXiv preprint arXiv:1907.00325, 2019
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Recommended citation: Richard Guo, Cencheng Shen, Joshua Vogelstein, "Estimating Information-Theoretic Quantities with Random Forests." arXiv preprint arXiv:1907.00325, 2019.
Graph Independence Testing
Published in arXiv preprint arXiv:1906.03661, 2019
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Recommended citation: Junhao Xiong, Cencheng Shen, Jes{\"u}s Arroyo, Joshua Vogelstein, "Graph Independence Testing." arXiv preprint arXiv:1906.03661, 2019.
Graspy: Graph statistics in python
Published in Journal of Machine Learning Research, 2019
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Recommended citation: Jaewon Chung, Benjamin Pedigo, Eric Bridgeford, Bijan Varjavand, Hayden Helm, Joshua Vogelstein, "Graspy: Graph statistics in python." Journal of Machine Learning Research, 2019.
Standardizing Human Brain Parcellations
Published in bioRxiv, 2019
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Recommended citation: Patrick Myers, Ganesh Arvapalli, Sandhya Ramachandran, Derek Pisner, Paige Frank, Allison Lemmer, Eric Bridgeford, Aki Nikolaidis, Joshua Vogelstein, "Standardizing Human Brain Parcellations." bioRxiv, 2019.
mgcpy: A comprehensive high dimensional independence testing python package
Published in arXiv preprint arXiv:1907.02088, 2019
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Recommended citation: Sambit Panda, Satish Palaniappan, Junhao Xiong, Ananya Swaminathan, Sandhya Ramachandran, Eric Bridgeford, Cencheng Shen, Joshua Vogelstein, "mgcpy: A comprehensive high dimensional independence testing python package." arXiv preprint arXiv:1907.02088, 2019.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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