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Shankar Bhamidi

Showing results (1-10 of 9) with videos related to

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Medrxiv : the Preprint Server for Health Sciences|May 3, 2023
The spatial distribution of coupling between tau and neurodegeneration in amyloid-β positive mild cognitive impairmentBelfin Robinson, Shankar Bhamidi, Eran Dayan, et al.
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|November 1, 2024
Statistical Significance of Clustering with Multidimensional ScalingHui Shen, Shankar Bhamidi, Yufeng Liu
Neurobiology of Aging|February 8, 2024
The spatial distribution of coupling between tau and neurodegeneration in amyloid-β positive mild cognitive impairmentBelfin Robinson, Shankar Bhamidi, Eran Dayan, et al.
Journal of Machine Learning Research : JMLR|March 12, 2019
Significance-based community detection in weighted networksJohn Palowitch, Shankar Bhamidi, Andrew B Nobel
Plos One|April 30, 2020
Demarcating geographic regions using community detection in commuting networks with significant self-loopsMark He, Joseph Glasser, Nathaniel Pritchard, et al.
Journal of Machine Learning Research : JMLR|December 25, 2019
Community Extraction in Multilayer Networks with Heterogeneous Community StructureJames D Wilson, John Palowitch, Shankar Bhamidi, et al.
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|October 28, 2014
Functional Data Analysis of Tree Data ObjectsDan Shen, Haipeng Shen, Shankar Bhamidi, et al.
Scientific Reports|September 17, 2017
Statistical Modeling of the Default Mode Brain Network Reveals a Segregated Highway StructurePaul E Stillman, James D Wilson, Matthew J Denny, et al.
Journal of Child Psychology and Psychiatry, and Allied Disciplines|December 23, 2015
Childhood peer network characteristics: genetic influences and links with early mental health trajectoriesEszter Szekely, Irene Pappa, James D Wilson, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Medrxiv : the Preprint Server for Health Sciences|May 3, 2023
The spatial distribution of coupling between tau and neurodegeneration in amyloid-β positive mild cognitive impairmentBelfin Robinson, Shankar Bhamidi, Eran Dayan, et al.
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|November 1, 2024
Statistical Significance of Clustering with Multidimensional ScalingHui Shen, Shankar Bhamidi, Yufeng Liu
Neurobiology of Aging|February 8, 2024
The spatial distribution of coupling between tau and neurodegeneration in amyloid-β positive mild cognitive impairmentBelfin Robinson, Shankar Bhamidi, Eran Dayan, et al.
Journal of Machine Learning Research : JMLR|March 12, 2019
Significance-based community detection in weighted networksJohn Palowitch, Shankar Bhamidi, Andrew B Nobel
Plos One|April 30, 2020
Demarcating geographic regions using community detection in commuting networks with significant self-loopsMark He, Joseph Glasser, Nathaniel Pritchard, et al.
Journal of Machine Learning Research : JMLR|December 25, 2019
Community Extraction in Multilayer Networks with Heterogeneous Community StructureJames D Wilson, John Palowitch, Shankar Bhamidi, et al.
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|October 28, 2014
Functional Data Analysis of Tree Data ObjectsDan Shen, Haipeng Shen, Shankar Bhamidi, et al.
Scientific Reports|September 17, 2017
Statistical Modeling of the Default Mode Brain Network Reveals a Segregated Highway StructurePaul E Stillman, James D Wilson, Matthew J Denny, et al.
Journal of Child Psychology and Psychiatry, and Allied Disciplines|December 23, 2015
Childhood peer network characteristics: genetic influences and links with early mental health trajectoriesEszter Szekely, Irene Pappa, James D Wilson, et al.
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