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Foundational principles for large scale inference: Illustrations through
  correlation mining
v1v2 (latest)

Foundational principles for large scale inference: Illustrations through correlation mining

11 May 2015
Alfred Hero
B. Rajaratnam
ArXiv (abs)PDFHTML

Papers citing "Foundational principles for large scale inference: Illustrations through correlation mining"

4 / 4 papers shown
Quickest Hub Discovery in Correlation Graphs
Quickest Hub Discovery in Correlation GraphsAsilomar Conference on Signals, Systems and Computers (Asilomar), 2016
T. Banerjee
Alfred Hero
105
5
0
04 Feb 2017
Quickest Detection for Changes in Maximal kNN Coherence of Random
  Matrices
Quickest Detection for Changes in Maximal kNN Coherence of Random MatricesIEEE Transactions on Signal Processing (IEEE TSP), 2015
T. Banerjee
H. Firouzi
Alfred Hero
373
14
0
19 Aug 2015
MCMC-Based Inference in the Era of Big Data: A Fundamental Analysis of
  the Convergence Complexity of High-Dimensional Chains
MCMC-Based Inference in the Era of Big Data: A Fundamental Analysis of the Convergence Complexity of High-Dimensional Chains
B. Rajaratnam
Doug Sparks
390
70
0
05 Aug 2015
Non-parametric Quickest Change Detection for Large Scale Random Matrices
Non-parametric Quickest Change Detection for Large Scale Random Matrices
T. Banerjee
H. Firouzi
Alfred Hero
138
8
0
20 Jun 2015
1
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