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Universal and Composite Hypothesis Testing via Mismatched Divergence
v1v2v3 (latest)

Universal and Composite Hypothesis Testing via Mismatched Divergence

11 September 2009
Jayakrishnan Unnikrishnan
Dayu Huang
Sean P. Meyn
A. Surana
Venugopal V. Veeravalli
ArXiv (abs)PDFHTML

Papers citing "Universal and Composite Hypothesis Testing via Mismatched Divergence"

10 / 10 papers shown
Quickest Change Detection Using Mismatched CUSUM
Quickest Change Detection Using Mismatched CUSUM
Austin Cooper
Sean P. Meyn
282
2
0
12 Sep 2024
Asymptotically Optimal One- and Two-Sample Testing with Kernels
Asymptotically Optimal One- and Two-Sample Testing with KernelsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2019
Shengyu Zhu
Biao Chen
Zhitang Chen
Pengfei Yang
276
11
0
27 Aug 2019
Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests
  for Goodness of Fit
Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit
Shengyu Zhu
Biao Chen
Pengfei Yang
Zhitang Chen
274
6
0
21 Feb 2018
Statistical Anomaly Detection via Composite Hypothesis Testing for
  Markov Models
Statistical Anomaly Detection via Composite Hypothesis Testing for Markov ModelsIEEE Transactions on Signal Processing (IEEE TSP), 2017
Jing Zhang
I. Paschalidis
107
25
0
27 Feb 2017
Ensemble Estimation of Generalized Mutual Information with Applications
  to Genomics
Ensemble Estimation of Generalized Mutual Information with Applications to GenomicsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2017
Kevin R. Moon
K. Sricharan
Alfred Hero
278
10
0
27 Jan 2017
Sequentiality and Adaptivity Gains in Active Hypothesis Testing
Sequentiality and Adaptivity Gains in Active Hypothesis TestingIEEE Journal on Selected Topics in Signal Processing (JSTSP), 2012
Mohammad Naghshvar
T. Javidi
OffRL
242
61
0
10 Nov 2012
Optimal Detection For Sparse Mixtures
Optimal Detection For Sparse Mixtures
T. Tony Cai
Yihong Wu
222
8
0
09 Nov 2012
Generalized Error Exponents For Small Sample Universal Hypothesis
  Testing
Generalized Error Exponents For Small Sample Universal Hypothesis TestingIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2012
Dayu Huang
Sean P. Meyn
287
30
0
06 Apr 2012
Feature Extraction for Universal Hypothesis Testing via Rank-constrained
  Optimization
Feature Extraction for Universal Hypothesis Testing via Rank-constrained Optimization
Dayu Huang
Sean P. Meyn
433
5
0
18 Jan 2010
A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov
  Tree Structures
A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree StructuresIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2009
Vincent Y. F. Tan
Anima Anandkumar
L. Tong
A. Willsky
703
69
0
07 May 2009
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